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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Volume 83: Algorithmic Learning Theory, 7-9 April 2018,[edit] Editors: Firdaus Janoos, Mehryar Mohri, Karthik Sridharan Filter Authors: Filter Titles: Algorithmic Learning Theory ALT 2018: Preface Mehryar Mohri, Karthik Sridharan; Proceedings of Algorithmic Learning Theory, PMLR 83:1-2 [abs][Download PDF] Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed Aslam; Proceedings of Algorithmic Learning Theory, PMLR 83:3-24 [abs][Download PDF] Learners that Use Little Information Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff; Proceedings of Algorithmic Learning Theory, PMLR 83:25-55 [abs][Download PDF] {Multi-Player Bandits Revisited} Lilian Besson, Emilie Kaufmann; Proceedings of Algorithmic Learning Theory, PMLR 83:56-92 [abs][Download PDF] Adaptive Group Testing Algorithms to Estimate the Number of Defectives Nader H. Bshouty, Vivian E. Bshouty-Hurani, George Haddad, Thomas Hashem, Fadi Khoury, Omar Sharafy; Proceedings of Algorithmic Learning Theory, PMLR 83:93-110 [abs][Download PDF] Sparsity, variance and curvature in multi-armed bandits Sébastien Bubeck, Michael Cohen, Yuanzhi Li; Proceedings of Algorithmic Learning Theory, PMLR 83:111-127 [abs][Download PDF] Bandit Regret Scaling with the Effective Loss Range Nicolò Cesa-Bianchi, Ohad Shamir; Proceedings of Algorithmic Learning Theory, PMLR 83:128-151 [abs][Download PDF] Structure Learning of ${H}$-colorings Antonio Blanca, Zongchen Chen, Daniel Štefankovič, Eric Vigoda; Proceedings of Algorithmic Learning Theory, PMLR 83:152-185 [abs][Download PDF] Convergence of Langevin MCMC in KL-divergence Xiang Cheng, Peter Bartlett; Proceedings of Algorithmic Learning Theory, PMLR 83:186-211 [abs][Download PDF] Ranking Median Regression: Learning to Order through Local Consensus Stephan Clémençon, Anna Korba, Eric Sibony; Proceedings of Algorithmic Learning Theory, PMLR 83:212-245 [abs][Download PDF] Coordinate Descent Faceoff: Primal or Dual? Dominik Csiba, Peter Richtárik; Proceedings of Algorithmic Learning Theory, PMLR 83:246-267 [abs][Download PDF] A Better Resource Allocation Algorithm with Semi-Bandit Feedback Yuval Dagan, Crammer Koby; Proceedings of Algorithmic Learning Theory, PMLR 83:268-320 [abs][Download PDF] Unperturbed: spectral analysis beyond Davis-Kahan Justin Eldridge, Mikhail Belkin, Yusu Wang; Proceedings of Algorithmic Learning Theory, PMLR 83:321-358 [abs][Download PDF] Decision making with limited feedback Danielle Ensign, Frielder Sorelle, Neville Scott, Scheidegger Carlos, Venkatasubramanian Suresh; Proceedings of Algorithmic Learning Theory, PMLR 83:359-367 [abs][Download PDF] Robust Inference for Multiclass Classification Uriel Feige, Yishay Mansour, Robert E. Schapire; Proceedings of Algorithmic Learning Theory, PMLR 83:368-386 [abs][Download PDF] Corrupt Bandits for Preserving Local Privacy Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann; Proceedings of Algorithmic Learning Theory, PMLR 83:387-412 [abs][Download PDF] On the Help of Bounded Shot Verifiers, Comparators and Standardisers for Learnability in Inductive Inference Ziyuan Gao, Sanjay Jain, Frank Stephan, Thomas Zeugmann; Proceedings of Algorithmic Learning Theory, PMLR 83:413-437 [abs][Download PDF] Smooth Sensitivity Based Approach for Differentially Private PCA Alon Gonem, Ram Gilad-Bachrach; Proceedings of Algorithmic Learning Theory, PMLR 83:438-450 [abs][Download PDF] Dimension-free Information Concentration via Exp-Concavity Ya-ping Hsieh, Volkan Cevher; Proceedings of Algorithmic Learning Theory, PMLR 83:451-469 [abs][Download PDF] Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos; Proceedings of Algorithmic Learning Theory, PMLR 83:470-488 [abs][Download PDF] Learning Decision Trees with Stochastic Linear Classifiers Tom Jurgenson, Yishay Mansour; Proceedings of Algorithmic Learning Theory, PMLR 83:489-528 [abs][Download PDF] Instrument-Armed Bandits Nathan Kallus; Proceedings of Algorithmic Learning Theory, PMLR 83:529-546 [abs][Download PDF] An Adaptive Strategy for Active Learning with Smooth Decision Boundary Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe; Proceedings of Algorithmic Learning Theory, PMLR 83:547-571 [abs][Download PDF] Learning under $p$-Tampering Attacks Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody; Proceedings of Algorithmic Learning Theory, PMLR 83:572-596 [abs][Download PDF] Markov Decision Processes with Continuous Side Information Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari; Proceedings of Algorithmic Learning Theory, PMLR 83:597-618 [abs][Download PDF] Clustering Algorithms for the Centralized and Local Models Kobbi Nissim, Uri Stemmer; Proceedings of Algorithmic Learning Theory, PMLR 83:619-653 [abs][Download PDF] On Similarity Prediction and Pairwise Clustering Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster; Proceedings of Algorithmic Learning Theory, PMLR 83:654-681 [abs][Download PDF] Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness Anastasia Pentina, Shai Ben-David; Proceedings of Algorithmic Learning Theory, PMLR 83:682-701 [abs][Download PDF] Online Learning of Combinatorial Objects via Extended Formulation Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan; Proceedings of Algorithmic Learning Theory, PMLR 83:702-724 [abs][Download PDF] The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates Henry Reeve, Joe Mellor, Gavin Brown; Proceedings of Algorithmic Learning Theory, PMLR 83:725-752 [abs][Download PDF] Sequential prediction with coded side information under logarithmic loss Yanina Shkel, Maxim Raginsky, Sergio Verdú; Proceedings of Algorithmic Learning Theory, PMLR 83:753-769 [abs][Download PDF] Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs Mohammad Sadegh Talebi, Odalric-Ambrym Maillard; Proceedings of Algorithmic Learning Theory, PMLR 83:770-805 [abs][Download PDF] Efficient coordinate-wise leading eigenvector computation Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro; Proceedings of Algorithmic Learning Theory, PMLR 83:806-820 [abs][Download PDF] Minimax Rates and Efficient Algorithms for Noisy Sorting Cheng Mao, Jonathan Weed, Philippe Rigollet; Proceedings of Algorithmic Learning Theory, PMLR 83:821-847 [abs][Download PDF] subscribe via RSS |
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