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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Volume 28: International Conference on Machine Learning, 17-19 June 2013, Atlanta, Georgia, USA[edit] Editors: Sanjoy Dasgupta, David McAllester Cycle 1 PapersAn Optimal Policy for Target Localization with Application to Electron Microscopy Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak, Pascal Fua; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):1-9 [abs][Download PDF] Domain Generalization via Invariant Feature Representation Krikamol Muandet, David Balduzzi, Bernhard Schölkopf; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):10-18 A Spectral Learning Approach to Range-Only SLAM Byron Boots, Geoff Gordon; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):19-26 Near-Optimal Bounds for Cross-Validation via Loss Stability Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii, Andrea Vattani; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):27-35 [abs][Download PDF] Sparsity-Based Generalization Bounds for Predictive Sparse Coding Nishant Mehta, Alexander Gray; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):36-44 Sparse Uncorrelated Linear Discriminant Analysis Xiaowei Zhang, Delin Chu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):45-52 [abs][Download PDF] Block-Coordinate Frank-Wolfe Optimization for Structural SVMs Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt, Patrick Pletscher; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):53-61 Fast Probabilistic Optimization from Noisy Gradients Philipp Hennig; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):62-70 [abs][Download PDF] Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir, Tong Zhang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):71-79 [abs][Download PDF] Stochastic Alternating Direction Method of Multipliers Hua Ouyang, Niao He, Long Tran, Alexander Gray; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):80-88 Noisy Sparse Subspace Clustering Yu-Xiang Wang, Huan Xu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):89-97 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models Sinead Williamson, Avinava Dubey, Eric Xing; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):98-106 Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):107-114 Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures James Bergstra, Daniel Yamins, David Cox; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):115-123 [abs][Download PDF] Gibbs Max-Margin Topic Models with Fast Sampling Algorithms Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):124-132 [abs][Download PDF] Cost-Sensitive Tree of Classifiers Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):133-141 [abs][Download PDF] Learning Hash Functions Using Column Generation Xi Li, Guosheng Lin, Chunhua Shen, Anton Hengel, Anthony Dick; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):142-150 [abs][Download PDF] Combinatorial Multi-Armed Bandit: General Framework and Applications Wei Chen, Yajun Wang, Yang Yuan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):151-159 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization Yuxin Chen, Andreas Krause; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):160-168 Convex formulations of radius-margin based Support Vector Machines Huyen Do, Alexandros Kalousis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):169-177 [abs][Download PDF] Modelling Sparse Dynamical Systems with Compressed Predictive State Representations William L. Hamilton, Mahdi Milani Fard, Joelle Pineau; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):178-186 [abs][Download PDF] A Machine Learning Framework for Programming by Example Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Kalai; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):187-195 [abs][Download PDF] Discriminatively Activated Sparselets Ross Girshick, Hyun Oh Song, Trevor Darrell; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):196-204 The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):205-213 [abs][Download PDF] Fixed-Point Model For Structured Labeling Quannan Li, Jingdong Wang, David Wipf, Zhuowen Tu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):214-221 [abs][Download PDF] Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation Boqing Gong, Kristen Grauman, Fei Sha; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):222-230 Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):231-239 [abs][Download PDF] Principal Component Analysis on non-Gaussian Dependent Data Fang Han, Han Liu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):240-248 [abs][Download PDF] Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar, Daniel Hsu, Adel Javanmard, Sham Kakade; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):249-257 [abs][Download PDF] Multiple Identifications in Multi-Armed Bandits Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):258-265 [abs][Download PDF] Learning Optimally Sparse Support Vector Machines Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):266-274 Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks Creighton Heaukulani, Zoubin Ghahramani; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):275-283 [abs][Download PDF] Efficient Sparse Group Feature Selection via Nonconvex Optimization Shuo Xiang, Xiaoshen Tong, Jieping Ye; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):284-292 Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model Min Xiao, Yuhong Guo; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):293-301 [abs][Download PDF] Maximum Variance Correction with Application to A* Search Wenlin Chen, Kilian Weinberger, Yixin Chen; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):302-310 [abs][Download PDF] Adaptive Sparsity in Gaussian Graphical Models Eleanor Wong, Suyash Awate, P. Thomas Fletcher; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):311-319 [abs][Download PDF] Average Reward Optimization Objective In Partially Observable Domains Yuri Grinberg, Doina Precup; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):320-328 Feature Selection in High-Dimensional Classification Mladen Kolar, Han Liu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):329-337 [abs][Download PDF] Human Boosting Harsh Pareek, Pradeep Ravikumar; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):338-346 Efficient Dimensionality Reduction for Canonical Correlation Analysis Haim Avron, Christos Boutsidis, Sivan Toledo, Anastasios Zouzias; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):347-355 [abs][Download PDF] Parsing epileptic events using a Markov switching process model for correlated time series Drausin Wulsin, Emily Fox, Brian Litt; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):356-364 Optimal rates for stochastic convex optimization under Tsybakov noise condition Aaditya Ramdas, Aarti Singh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):365-373 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning Arash Afkanpour, András György, Csaba Szepesvari, Michael Bowling; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):374-382 [abs][Download PDF] Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery Yudong Chen, Constantine Caramanis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):383-391 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method Taiji Suzuki; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):392-400 A New Frontier of Kernel Design for Structured Data Kilho Shin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):401-409 [abs][Download PDF] Learning with Marginalized Corrupted Features Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):410-418 [abs][Download PDF] Approximation properties of DBNs with binary hidden units and real-valued visible units Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):419-426 [abs][Download PDF] Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization Martin Jaggi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):427-435 General Functional Matrix Factorization Using Gradient Boosting Tianqi Chen, Hang Li, Qiang Yang, Yong Yu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):436-444 [abs][Download PDF] Iterative Learning and Denoising in Convolutional Neural Associative Memories Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):445-453 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations Elad Gilboa, Yunus Saatçi, John Cunningham, Elad Gilboa; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):454-461 Active Learning for Multi-Objective Optimization Marcela Zuluaga, Guillaume Sergent, Andreas Krause, Markus Püschel; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):462-470 A Generalized Kernel Approach to Structured Output Learning Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):471-479 [abs][Download PDF] Efficient Active Learning of Halfspaces: an Aggressive Approach Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):480-488 [abs][Download PDF] Enhanced statistical rankings via targeted data collection Braxton Osting, Christoph Brune, Stanley Osher; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):489-497 [abs][Download PDF] Online Feature Selection for Model-based Reinforcement Learning Trung Nguyen, Zhuoru Li, Tomi Silander, Tze Yun Leong; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):498-506 ELLA: An Efficient Lifelong Learning Algorithm Paul Ruvolo, Eric Eaton; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):507-515 A Structural SVM Based Approach for Optimizing Partial AUC Harikrishna Narasimhan, Shivani Agarwal; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):516-524 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs K. S. Sesh Kumar, Francis Bach; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):525-533 Adaptive Task Assignment for Crowdsourced Classification Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):534-542 [abs][Download PDF] Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):543-551 [abs][Download PDF] Better Mixing via Deep Representations Yoshua Bengio, Gregoire Mesnil, Yann Dauphin, Salah Rifai; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):552-560 [abs][Download PDF] Online Latent Dirichlet Allocation with Infinite Vocabulary Ke Zhai, Jordan Boyd-Graber; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):561-569 [abs][Download PDF] Characterizing the Representer Theorem Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvari; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):570-578 [abs][Download PDF] Dynamical Models and tracking regret in online convex programming Eric Hall, Rebecca Willett; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):579-587 [abs][Download PDF] Large-Scale Bandit Problems and KWIK Learning Jacob Abernethy, Kareem Amin, Michael Kearns, Moez Draief; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):588-596 Vanishing Component Analysis Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-Shwartz, Amir Globerson; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):597-605 [abs][Download PDF] Learning an Internal Dynamics Model from Control Demonstration Matthew Golub, Steven Chase, Byron Yu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):606-614 [abs][Download PDF] Robust Structural Metric Learning Daryl Lim, Gert Lanckriet, Brian McFee; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):615-623 [abs][Download PDF] Constrained fractional set programs and their application in local clustering and community detection Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer, Matthias Hein; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):624-632 Efficient Semi-supervised and Active Learning of Disjunctions Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):633-641 Convex Adversarial Collective Classification MohamadAli Torkamani, Daniel Lowd; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):642-650 Rounding Methods for Discrete Linear Classification Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(1):651-659 Cycle 2 PapersMixture of Mutually Exciting Processes for Viral Diffusion Shuang-Hong Yang, Hongyuan Zha; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):1-9 Gaussian Process Vine Copulas for Multivariate Dependence David Lopez-Paz, Jose Miguel Hernández-Lobato, Ghahramani Zoubin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):10-18 [abs][Download PDF] Stochastic Simultaneous Optimistic Optimization Michal Valko, Alexandra Carpentier, Rémi Munos; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):19-27 [abs][Download PDF] Toward Optimal Stratification for Stratified Monte-Carlo Integration Alexandra Carpentier, Rémi Munos; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):28-36 [abs][Download PDF] A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):37-45 [abs][Download PDF] Thurstonian Boltzmann Machines: Learning from Multiple Inequalities Truyen Tran, Dinh Phung, Svetha Venkatesh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):46-54 A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim, Geoffrey Voelker, Lawrence Saul; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):55-63 Forecastable Component Analysis Georg Goerg; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):64-72 Ellipsoidal Multiple Instance Learning Gabriel Krummenacher, Cheng Soon Ong, Joachim Buhmann; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):73-81 Local Low-Rank Matrix Approximation Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):82-90 [abs][Download PDF] Generic Exploration and K-armed Voting Bandits Tanguy Urvoy, Fabrice Clerot, Raphael Féraud, Sami Naamane; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):91-99 A unifying framework for vector-valued manifold regularization and multi-view learning Minh Hà Quang, Loris Bazzani, Vittorio Murino; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):100-108 Learning Connections in Financial Time Series Gartheeban Ganeshapillai, John Guttag, Andrew Lo; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):109-117 [abs][Download PDF] Fast dropout training Sida Wang, Christopher Manning; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):118-126 [abs][Download PDF] Scalable Optimization of Neighbor Embedding for Visualization Zhirong Yang, Jaakko Peltonen, Samuel Kaski; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):127-135 Precision-recall space to correct external indices for biclustering Blaise Hanczar, Mohamed Nadif; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):136-144 [abs][Download PDF] Monochromatic Bi-Clustering Sharon Wulff, Ruth Urner, Shai Ben-David; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):145-153 Gated Autoencoders with Tied Input Weights Droniou Alain, Sigaud Olivier; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):154-162 [abs][Download PDF] Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings Nicola Rebagliati; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):163-171 [abs][Download PDF] Transition Matrix Estimation in High Dimensional Time Series Fang Han, Han Liu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):172-180 [abs][Download PDF] Label Partitioning For Sublinear Ranking Jason Weston, Ameesh Makadia, Hector Yee; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):181-189 [abs][Download PDF] Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing Huayan Wang, Koller Daphne; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):190-198 Collaborative hyperparameter tuning Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):199-207 SADA: A General Framework to Support Robust Causation Discovery Ruichu Cai, Zhenjie Zhang, Zhifeng Hao; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):208-216 [abs][Download PDF] Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):217-225 [abs][Download PDF] Sequential Bayesian Search Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):226-234 Sparse projections onto the simplex Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):235-243 [abs][Download PDF] Modeling Musical Influence with Topic Models Uri Shalit, Daphna Weinshall, Gal Chechik; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):244-252 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Gopinath Kanchi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):253-261 Exploring the Mind: Integrating Questionnaires and fMRI Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):262-270 [abs][Download PDF] A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):271-279 A Practical Algorithm for Topic Modeling with Provable Guarantees Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):280-288 Distributed training of Large-scale Logistic models Siddharth Gopal, Yiming Yang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):289-297 [abs][Download PDF] An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath, Chong Wang, Blei David, Eric Xing; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):298-306 Margins, Shrinkage, and Boosting Matus Telgarsky; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):307-315 Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment Billy Chang, Uwe Kruger, Rafal Kustra, Junping Zhang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):316-324 Large-Scale Learning with Less RAM via Randomization Daniel Golovin, D. Sculley, Brendan McMahan, Michael Young; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):325-333 [abs][Download PDF] Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):334-342 Sparse coding for multitask and transfer learning Andreas Maurer, Massi Pontil, Bernardino Romera-Paredes; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):343-351 Direct Modeling of Complex Invariances for Visual Object Features Ka Yu Hui; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):352-360 [abs][Download PDF] Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data Jan-Willem Meent, Jonathan Bronson, Frank Wood, Ruben Gonzalez Jr., Chris Wiggins; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):361-369 [abs][Download PDF] Activized Learning with Uniform Classification Noise Liu Yang, Steve Hanneke; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(2):370-378 [abs][Download PDF] Cycle 3 PapersGuided Policy Search Sergey Levine, Vladlen Koltun; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1-9 Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):10-18 Gossip-based distributed stochastic bandit algorithms Balazs Szorenyi, Robert Busa-Fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity, Balazs Kegl; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):19-27 The Sample-Complexity of General Reinforcement Learning Tor Lattimore, Marcus Hutter, Peter Sunehag; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):28-36 [abs][Download PDF] Hierarchical Regularization Cascade for Joint Learning Alon Zweig, Daphna Weinshall; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):37-45 Multi-Class Classification with Maximum Margin Multiple Kernel Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):46-54 Bayesian Games for Adversarial Regression Problems Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):55-63 Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing Xi Chen, Qihang Lin, Dengyong Zhou; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):64-72 Markov Network Estimation From Multi-attribute Data Mladen Kolar, Han Liu, Eric Xing; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):73-81 [abs][Download PDF] MILEAGE: Multiple Instance LEArning with Global Embedding Dan Zhang, Jingrui He, Luo Si, Richard Lawrence; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):82-90 Guaranteed Sparse Recovery under Linear Transformation Ji Liu, Lei Yuan, Jieping Ye; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):91-99 [abs][Download PDF] Learning invariant features by harnessing the aperture problem Roland Memisevic, Georgios Exarchakis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):100-108 [abs][Download PDF] Efficient Ranking from Pairwise Comparisons Fabian Wauthier, Michael Jordan, Nebojsa Jojic; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):109-117 Differentially Private Learning with Kernels Prateek Jain, Abhradeep Thakurta; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):118-126 Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal, Navin Goyal; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):127-135 Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space Javier Almingol, Lui Montesano, Manuel Lopes; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):136-144 Inference algorithms for pattern-based CRFs on sequence data Rustem Takhanov, Vladimir Kolmogorov; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):145-153 [abs][Download PDF] One-Bit Compressed Sensing: Provable Support and Vector Recovery Sivakant Gopi, Praneeth Netrapalli, Prateek Jain, Aditya Nori; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):154-162 Tensor Analyzers Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):163-171 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis Bach; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):172-180 [abs][Download PDF] Learning from Human-Generated Lists Kwang-Sung Jun, Jerry Zhu, Burr Settles, Timothy Rogers; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):181-189 [abs][Download PDF] A Fast and Exact Energy Minimization Algorithm for Cycle MRFs Huayan Wang, Koller Daphne; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):190-198 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever, Rich Zemel; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):199-207 An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation Nicholas Bryan, Gautham Mysore; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):208-216 [abs][Download PDF] Estimating Unknown Sparsity in Compressed Sensing Miles Lopes; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):217-225 MAD-Bayes: MAP-based Asymptotic Derivations from Bayes Tamara Broderick, Brian Kulis, Michael Jordan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):226-234 The Most Generative Maximum Margin Bayesian Networks Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):235-243 Fastfood - Computing Hilbert Space Expansions in loglinear time Quoc Le, Tamas Sarlos, Alexander Smola; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):244-252 Joint Transfer and Batch-mode Active Learning Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):253-261 Message passing with l1 penalized KL minimization Yuan Qi, Yandong Guo; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):262-270 Mean Reversion with a Variance Threshold Marco Cuturi, Alexandre D’Aspremont; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):271-279 [abs][Download PDF] Top-down particle filtering for Bayesian decision trees Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):280-288 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):289-297 Robust and Discriminative Self-Taught Learning Hua Wang, Feiping Nie, Heng Huang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):298-306 Safe Policy Iteration Matteo Pirotta, Marcello Restelli, Alessio Pecorino, Daniele Calandriello; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):307-315 Unfolding Latent Tree Structures using 4th Order Tensors Mariya Ishteva, Haesun Park, Le Song; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):316-324 Learning Fair Representations Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):325-333 Hierarchical Tensor Decomposition of Latent Tree Graphical Models Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing, Haesun Park; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):334-342 [abs][Download PDF] No more pesky learning rates Tom Schaul, Sixin Zhang, Yann LeCun; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):343-351 Multi-View Clustering and Feature Learning via Structured Sparsity Hua Wang, Feiping Nie, Heng Huang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):352-360 [abs][Download PDF] Planning by Prioritized Sweeping with Small Backups Harm Van Seijen, Rich Sutton; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):361-369 [abs][Download PDF] Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):370-378 [abs][Download PDF] Learning Heteroscedastic Models by Convex Programming under Group Sparsity Arnak Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):379-387 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang, Ivan Marsic; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):388-395 [abs][Download PDF] A Local Algorithm for Finding Well-Connected Clusters Zeyuan Allen Zhu, Silvio Lattanzi, Vahab Mirrokni; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):396-404 Efficient Multi-label Classification with Many Labels Wei Bi, James Kwok; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):405-413 [abs][Download PDF] Spectral Compressed Sensing via Structured Matrix Completion Yuxin Chen, Yuejie Chi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):414-422 Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model Ming Yang, Yingming Li, Zhongfei Zhang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):423-431 [abs][Download PDF] Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images Kyunghyun Cho; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):432-440 [abs][Download PDF] On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):441-449 Non-Linear Stationary Subspace Analysis with Application to Video Classification Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell, Mathieu Salzmann; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):450-458 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy Jean Honorio, Jaakkola Tommi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):459-467 [abs][Download PDF] That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello, Adeel Mumtaz, Antoni Chan, Gert Lanckriet; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):468-476 Entropic Affinities: Properties and Efficient Numerical Computation Max Vladymyrov, Miguel Carreira-Perpinan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):477-485 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):486-494 [abs][Download PDF] Temporal Difference Methods for the Variance of the Reward To Go Aviv Tamar, Dotan Di Castro, Shie Mannor; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):495-503 \proptoSVM for Learning with Label Proportions Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony, Shih-Fu Chang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):504-512 Parameter Learning and Convergent Inference for Dense Random Fields Philipp Kraehenbuehl, Vladlen Koltun; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):513-521 [abs][Download PDF] Loss-Proportional Subsampling for Subsequent ERM Paul Mineiro, Nikos Karampatziakis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):522-530 [abs][Download PDF] Scalable Simple Random Sampling and Stratified Sampling Xiangrui Meng; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):531-539 [abs][Download PDF] Riemannian Similarity Learning Li Cheng; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):540-548 [abs][Download PDF] On Compact Codes for Spatially Pooled Features Yangqing Jia, Oriol Vinyals, Trevor Darrell; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):549-557 Dynamic Covariance Models for Multivariate Financial Time Series Yue Wu, Jose Miguel Hernandez-Lobato, Ghahramani Zoubin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):558-566 [abs][Download PDF] Revisiting the Nystrom method for improved large-scale machine learning Alex Gittens, Michael Mahoney; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):567-575 [abs][Download PDF] Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):576-584 A Unified Robust Regression Model for Lasso-like Algorithms Wenzhuo Yang, Huan Xu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):585-593 Quickly Boosting Decision Trees – Pruning Underachieving Features Early Ron Appel, Thomas Fuchs, Piotr Dollar, Pietro Perona; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):594-602 On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):603-611 Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment Jason Chuang, Sonal Gupta, Christopher Manning, Jeffrey Heer; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):612-620 Online Kernel Learning with a Near Optimal Sparsity Bound Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):621-629 Spectral Learning of Hidden Markov Models from Dynamic and Static Data Tzu-Kuo Huang, Jeff Schneider; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):630-638 [abs][Download PDF] Analogy-preserving Semantic Embedding for Visual Object Categorization Sung Ju Hwang, Kristen Grauman, Fei Sha; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):639-647 [abs][Download PDF] Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training Michael Izbicki; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):648-656 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach Sunil Gupta, Dinh Phung, Svetha Venkatesh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):657-665 [abs][Download PDF] Modeling Information Propagation with Survival Theory Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):666-674 [abs][Download PDF] Better Rates for Any Adversarial Deterministic MDP Ofer Dekel, Elad Hazan; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):675-683 [abs][Download PDF] ABC Reinforcement Learning Christos Dimitrakakis, Nikolaos Tziortziotis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):684-692 [abs][Download PDF] Sharp Generalization Error Bounds for Randomly-projected Classifiers Robert Durrant, Ata Kaban; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):693-701 [abs][Download PDF] On learning parametric-output HMMs Aryeh Kontorovich, Boaz Nadler, Roi Weiss; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):702-710 LDA Topic Model with Soft Assignment of Descriptors to Words Daphna Weinshall, Gal Levi, Dmitri Hanukaev; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):711-719 [abs][Download PDF] On autoencoder scoring Hanna Kamyshanska, Roland Memisevic; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):720-728 [abs][Download PDF] Infinite Markov-Switching Maximum Entropy Discrimination Machines Sotirios Chatzis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):729-737 [abs][Download PDF] A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):738-746 Sparse PCA through Low-rank Approximations Dimitris Papailiopoulos, Alexandros Dimakis, Stavros Korokythakis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):747-755 [abs][Download PDF] Computation-Risk Tradeoffs for Covariance-Thresholded Regression Dinah Shender, John Lafferty; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):756-764 [abs][Download PDF] Exact Rule Learning via Boolean Compressed Sensing Dmitry Malioutov, Kush Varshney; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):765-773 [abs][Download PDF] Robust Sparse Regression under Adversarial Corruption Yudong Chen, Constantine Caramanis, Shie Mannor; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):774-782 Optimization with First-Order Surrogate Functions Julien Mairal; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):783-791 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation Hema Koppula, Ashutosh Saxena; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):792-800 [abs][Download PDF] Consistency versus Realizable H-Consistency for Multiclass Classification Phil Long, Rocco Servedio; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):801-809 Feature Multi-Selection among Subjective Features Sivan Sabato, Adam Kalai; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):810-818 [abs][Download PDF] Domain Adaptation under Target and Conditional Shift Kun Zhang, Bernhard Schölkopf, Krikamol Muandet, Zhikun Wang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):819-827 Collective Stability in Structured Prediction: Generalization from One Example Ben London, Bert Huang, Ben Taskar, Lise Getoor; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):828-836 Stable Coactive Learning via Perturbation Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):837-845 Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):846-854 [abs][Download PDF] Fast Semidifferential-based Submodular Function Optimization Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):855-863 Kernelized Bayesian Matrix Factorization Mehmet Gönen, Suleiman Khan, Samuel Kaski; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):864-872 Learning the Structure of Sum-Product Networks Robert Gens, Domingos Pedro; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):873-880 [abs][Download PDF] Quantile Regression for Large-scale Applications Jiyan Yang, Xiangrui Meng, Michael Mahoney; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):881-887 [abs][Download PDF] Robust Regression on MapReduce Xiangrui Meng, Michael Mahoney; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):888-896 [abs][Download PDF] Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):897-905 One-Pass AUC Optimization Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):906-914 [abs][Download PDF] Learning Convex QP Relaxations for Structured Prediction Jeremy Jancsary, Sebastian Nowozin, Carsten Rother; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):915-923 [abs][Download PDF] Concurrent Reinforcement Learning from Customer Interactions David Silver, Leonard Newnham, David Barker, Suzanne Weller, Jason McFall; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):924-932 [abs][Download PDF] Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner Peng Sun, Jie Zhou; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):933-941 Stability and Hypothesis Transfer Learning Ilja Kuzborskij, Francesco Orabona; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):942-950 [abs][Download PDF] Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models Mohammad Emtiyaz Khan, Aleksandr Aravkin, Michael Friedlander, Matthias Seeger; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):951-959 [abs][Download PDF] Modeling Temporal Evolution and Multiscale Structure in Networks Tue Herlau, Morten Mørup, Mikkel Schmidt; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):960-968 Dependent Normalized Random Measures Changyou Chen, Vinayak Rao, Wray Buntine, Yee Whye Teh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):969-977 Fast Max-Margin Matrix Factorization with Data Augmentation Minjie Xu, Jun Zhu, Bo Zhang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):978-986 Natural Image Bases to Represent Neuroimaging Data Ashish Gupta, Murat Ayhan, Anthony Maida; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):987-994 Breaking the Small Cluster Barrier of Graph Clustering Nir Ailon, Yudong Chen, Huan Xu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):995-1003 Approximate Inference in Collective Graphical Models Daniel Sheldon, Tao Sun, Akshat Kumar, Tom Dietterich; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1004-1012 [abs][Download PDF] Scaling the Indian Buffet Process via Submodular Maximization Colorado Reed, Ghahramani Zoubin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1013-1021 Mini-Batch Primal and Dual Methods for SVMs Martin Takac, Avleen Bijral, Peter Richtarik, Nati Srebro; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1022-1030 The lasso, persistence, and cross-validation Darren Homrighausen, Daniel McDonald; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1031-1039 [abs][Download PDF] Spectral Experts for Estimating Mixtures of Linear Regressions Arun Tejasvi Chaganty, Percy Liang; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1040-1048 Distribution to Distribution Regression Junier Oliva, Barnabas Poczos, Jeff Schneider; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1049-1057 Regularization of Neural Networks using DropConnect Li Wan, Matthew Zeiler, Sixin Zhang, Yann Le Cun, Rob Fergus; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1058-1066 Gaussian Process Kernels for Pattern Discovery and Extrapolation Andrew Wilson, Ryan Adams; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1067-1075 Anytime Representation Learning Zhixiang Xu, Matt Kusner, Gao Huang, Kilian Weinberger; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1076-1084 [abs][Download PDF] Algorithms for Direct 0–1 Loss Optimization in Binary Classification Tan Nguyen, Scott Sanner; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1085-1093 [abs][Download PDF] Top-k Selection based on Adaptive Sampling of Noisy Preferences Robert Busa-Fekete, Balazs Szorenyi, Weiwei Cheng, Paul Weng, Eyke Huellermeier; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1094-1102 The Extended Parameter Filter Yusuf Bugra Erol, Lei Li, Bharath Ramsundar, Russell Stuart; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1103-1111 Exploiting Ontology Structures and Unlabeled Data for Learning Nina Balcan, Avrim Blum, Yishay Mansour; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1112-1120 O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions Lijun Zhang, Tianbao Yang, Rong Jin, Xiaofei He; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1121-1129 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Huellermeier; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1130-1138 [abs][Download PDF] On the importance of initialization and momentum in deep learning Ilya Sutskever, James Martens, George Dahl, Geoffrey Hinton; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1139-1147 A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines Kostadin Georgiev, Preslav Nakov; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1148-1156 [abs][Download PDF] Intersecting singularities for multi-structured estimation Emile Richard, Francis BACH, Jean-Philippe Vert; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1157-1165 Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum, Ghahramani Zoubin; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1166-1174 [abs][Download PDF] Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events Lisa Friedland, David Jensen, Michael Lavine; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1175-1183 Smooth Operators Steffen Grunewalder, Gretton Arthur, John Shawe-Taylor; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1184-1192 The Cross-Entropy Method Optimizes for Quantiles Sergiu Goschin, Ari Weinstein, Michael Littman; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1193-1201 [abs][Download PDF] Topic Discovery through Data Dependent and Random Projections Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1202-1210 Bayesian Learning of Recursively Factored Environments Marc Bellemare, Joel Veness, Michael Bowling; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1211-1219 [abs][Download PDF] Selective sampling algorithms for cost-sensitive multiclass prediction Alekh Agarwal; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1220-1228 The Bigraphical Lasso Alfredo Kalaitzis, John Lafferty, Neil D. Lawrence, Shuheng Zhou; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1229-1237 Almost Optimal Exploration in Multi-Armed Bandits Zohar Karnin, Tomer Koren, Oren Somekh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1238-1246 [abs][Download PDF] Deep Canonical Correlation Analysis Galen Andrew, Raman Arora, Jeff Bilmes, Karen Livescu; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1247-1255 [abs][Download PDF] Consistency of Online Random Forests Misha Denil, David Matheson, Nando Freitas; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1256-1264 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting Matt Wytock, Zico Kolter; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1265-1273 Fast Image Tagging Minmin Chen, Alice Zheng, Kilian Weinberger; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1274-1282 [abs][Download PDF] Expensive Function Optimization with Stochastic Binary Outcomes Matthew Tesch, Jeff Schneider, Howie Choset; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1283-1291 [abs][Download PDF] Multiple-source cross-validation Krzysztof Geras, Charles Sutton; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1292-1300 [abs][Download PDF] Learning Triggering Kernels for Multi-dimensional Hawkes Processes Ke Zhou, Hongyuan Zha, Le Song; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1301-1309 [abs][Download PDF] On the difficulty of training recurrent neural networks Razvan Pascanu, Tomas Mikolov, Yoshua Bengio; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1310-1318 Maxout Networks Ian Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1319-1327 [abs][Download PDF] Predictable Dual-View Hashing Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Daume Hal, Larry Davis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1328-1336 [abs][Download PDF] Deep learning with COTS HPC systems Adam Coates, Brody Huval, Tao Wang, David Wu, Bryan Catanzaro, Ng Andrew; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1337-1345 [abs][Download PDF] Nonparametric Mixture of Gaussian Processes with Constraints James Ross, Jennifer Dy; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1346-1354 [abs][Download PDF] Scale Invariant Conditional Dependence Measures Sashank J Reddi, Barnabas Poczos; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1355-1363 Learning Policies for Contextual Submodular Prediction Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1364-1372 Manifold Preserving Hierarchical Topic Models for Quantization and Approximation Minje Kim, Paris Smaragdis; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1373-1381 [abs][Download PDF] Safe Screening of Non-Support Vectors in Pathwise SVM Computation Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1382-1390 Cost-sensitive Multiclass Classification Risk Bounds Bernardo Ávila Pires, Csaba Szepesvari, Mohammad Ghavamzadeh; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1391-1399 [abs][Download PDF] Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil Jain; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1400-1408 [abs][Download PDF] Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models Umut Simsekli, Ali Taylan Cemgil, Yusuf Kenan Yilmaz; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1409-1417 [abs][Download PDF] Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration Volodymyr Kuleshov; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1418-1425 [abs][Download PDF] Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling Amr Ahmed, Liangjie Hong, Alexander Smola; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1426-1434 Tree-Independent Dual-Tree Algorithms Ryan Curtin, William March, Parikshit Ram, David Anderson, Alexander Gray, Charles Isbell; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1435-1443 [abs][Download PDF] Multilinear Multitask Learning Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1444-1452 Online Learning under Delayed Feedback Pooria Joulani, Andras Gyorgy, Csaba Szepesvari; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1453-1461 [abs][Download PDF] Adaptive Hamiltonian and Riemann Manifold Monte Carlo Ziyu Wang, Shakir Mohamed, Nando Freitas; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1462-1470 [abs][Download PDF] Coco-Q: Learning in Stochastic Games with Side Payments Eric Sodomka, Elizabeth Hilliard, Michael Littman, Amy Greenwald; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1471-1479 [abs][Download PDF] On A Nonlinear Generalization of Sparse Coding and Dictionary Learning Jeffrey Ho, Yuchen Xie, Baba Vemuri; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1480-1488 [abs][Download PDF] Estimation of Causal Peer Influence Effects Panos Toulis, Edward Kao; Proceedings of the 30th International Conference on Machine Learning, PMLR 28(3):1489-1497 subscribe via RSS |
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