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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 83: Algorithmic Learning Theory, 7-9 April 2018,

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Editors: Firdaus Janoos, Mehryar Mohri, Karthik Sridharan

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Filter Authors: Filter Titles:

Algorithmic Learning Theory ALT 2018: Preface

; Proceedings of Algorithmic Learning Theory, PMLR 83:1-2

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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

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Learners that Use Little Information

Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff; Proceedings of Algorithmic Learning Theory, PMLR 83:25-55

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{Multi-Player Bandits Revisited}

Lilian Besson, Emilie Kaufmann; Proceedings of Algorithmic Learning Theory, PMLR 83:56-92

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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

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Sparsity, variance and curvature in multi-armed bandits

Sébastien Bubeck, Michael Cohen, Yuanzhi Li; Proceedings of Algorithmic Learning Theory, PMLR 83:111-127

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Bandit Regret Scaling with the Effective Loss Range

Nicolò Cesa-Bianchi, Ohad Shamir; Proceedings of Algorithmic Learning Theory, PMLR 83:128-151

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Structure Learning of ${H}$-colorings

Antonio Blanca, Zongchen Chen, Daniel Štefankovič, Eric Vigoda; Proceedings of Algorithmic Learning Theory, PMLR 83:152-185

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Convergence of Langevin MCMC in KL-divergence

Xiang Cheng, Peter Bartlett; Proceedings of Algorithmic Learning Theory, PMLR 83:186-211

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Ranking Median Regression: Learning to Order through Local Consensus

Stephan Clémençon, Anna Korba, Eric Sibony; Proceedings of Algorithmic Learning Theory, PMLR 83:212-245

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Coordinate Descent Faceoff: Primal or Dual?

Dominik Csiba, Peter Richtárik; Proceedings of Algorithmic Learning Theory, PMLR 83:246-267

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A Better Resource Allocation Algorithm with Semi-Bandit Feedback

Yuval Dagan, Crammer Koby; Proceedings of Algorithmic Learning Theory, PMLR 83:268-320

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Unperturbed: spectral analysis beyond Davis-Kahan

Justin Eldridge, Mikhail Belkin, Yusu Wang; Proceedings of Algorithmic Learning Theory, PMLR 83:321-358

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Decision making with limited feedback

Danielle Ensign, Frielder Sorelle, Neville Scott, Scheidegger Carlos, Venkatasubramanian Suresh; Proceedings of Algorithmic Learning Theory, PMLR 83:359-367

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Robust Inference for Multiclass Classification

Uriel Feige, Yishay Mansour, Robert E. Schapire; Proceedings of Algorithmic Learning Theory, PMLR 83:368-386

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Corrupt Bandits for Preserving Local Privacy

Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann; Proceedings of Algorithmic Learning Theory, PMLR 83:387-412

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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

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Smooth Sensitivity Based Approach for Differentially Private PCA

Alon Gonem, Ram Gilad-Bachrach; Proceedings of Algorithmic Learning Theory, PMLR 83:438-450

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Dimension-free Information Concentration via Exp-Concavity

Ya-ping Hsieh, Volkan Cevher; Proceedings of Algorithmic Learning Theory, PMLR 83:451-469

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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

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Learning Decision Trees with Stochastic Linear Classifiers

Tom Jurgenson, Yishay Mansour; Proceedings of Algorithmic Learning Theory, PMLR 83:489-528

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Instrument-Armed Bandits

Nathan Kallus; Proceedings of Algorithmic Learning Theory, PMLR 83:529-546

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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

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Learning under $p$-Tampering Attacks

Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody; Proceedings of Algorithmic Learning Theory, PMLR 83:572-596

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Markov Decision Processes with Continuous Side Information

Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari; Proceedings of Algorithmic Learning Theory, PMLR 83:597-618

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Clustering Algorithms for the Centralized and Local Models

Kobbi Nissim, Uri Stemmer; Proceedings of Algorithmic Learning Theory, PMLR 83:619-653

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On Similarity Prediction and Pairwise Clustering

Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster; Proceedings of Algorithmic Learning Theory, PMLR 83:654-681

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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

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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

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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

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Sequential prediction with coded side information under logarithmic loss

Yanina Shkel, Maxim Raginsky, Sergio Verdú; Proceedings of Algorithmic Learning Theory, PMLR 83:753-769

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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

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Efficient coordinate-wise leading eigenvector computation

Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro; Proceedings of Algorithmic Learning Theory, PMLR 83:806-820

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Minimax Rates and Efficient Algorithms for Noisy Sorting

Cheng Mao, Jonathan Weed, Philippe Rigollet; Proceedings of Algorithmic Learning Theory, PMLR 83:821-847

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