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| 2018 | 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 |
| 2018 | Algorithmic Learning Theory ALT 2017: Preface. |
| 2018 | Algorithmic Learning Theory, ALT 2018, 7-9 April 2018, Lanzarote, Canary Islands, Spain Firdaus Janoos, Mehryar Mohri, Karthik Sridharan |
| 2018 | An Adaptive Strategy for Active Learning with Smooth Decision Boundary. Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe |
| 2018 | Bandit Regret Scaling with the Effective Loss Range. Nicolò Cesa-Bianchi, Ohad Shamir |
| 2018 | Clustering Algorithms for the Centralized and Local Models. Kobbi Nissim, Uri Stemmer |
| 2018 | Convergence of Langevin MCMC in KL-divergence. Xiang Cheng, Peter L. Bartlett |
| 2018 | Coordinate Descent Faceoff: Primal or Dual? Dominik Csiba, Peter Richtárik |
| 2018 | Corrupt Bandits for Preserving Local Privacy. Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann |
| 2018 | Decision making with limited feedback. Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian |
| 2018 | Dimension-free Information Concentration via Exp-Concavity. Ya-Ping Hsieh, Volkan Cevher |
| 2018 | Efficient coordinate-wise leading eigenvector computation. Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro |
| 2018 | Instrument-Armed Bandits. Nathan Kallus |
| 2018 | Learners that Use Little Information. Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff |
| 2018 | Learning Decision Trees with Stochastic Linear Classifiers. Tom Jurgenson, Yishay Mansour |
| 2018 | Learning under $p$-Tampering Attacks. Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody |
| 2018 | Markov Decision Processes with Continuous Side Information. Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari |
| 2018 | Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos |
| 2018 | Minimax Rates and Efficient Algorithms for Noisy Sorting. Cheng Mao, Jonathan Weed, Philippe Rigollet |
| 2018 | Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness. Anastasia Pentina, Shai Ben-David |
| 2018 | On Similarity Prediction and Pairwise Clustering. Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster |
| 2018 | On the Help of Bounded Shot Verifiers, Comparators and Standardisers for Learnability in Inductive Inference. Ziyuan Gao, Sanjay Jain, Frank Stephan, Thomas Zeugmann |
| 2018 | Online Learning of Combinatorial Objects via Extended Formulation. Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan |
| 2018 | Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam |
| 2018 | Ranking Median Regression: Learning to Order through Local Consensus. Stéphan Clémençon, Anna Korba, Eric Sibony |
| 2018 | Robust Inference for Multiclass Classification. Uriel Feige, Yishay Mansour, Robert E. Schapire |
| 2018 | Sequential prediction with coded side information under logarithmic loss. Yanina Shkel, Maxim Raginsky, Sergio Verdú |
| 2018 | Smooth Sensitivity Based Approach for Differentially Private PCA. Alon Gonem, Ran Gilad-Bachrach |
| 2018 | Sparsity, variance and curvature in multi-armed bandits. Sébastien Bubeck, Michael B. Cohen, Yuanzhi Li |
| 2018 | Structure Learning of ${H}$-colorings. Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda |
| 2018 | The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates. Henry W. J. Reeve, Joe Mellor, Gavin Brown |
| 2018 | Unperturbed: spectral analysis beyond Davis-Kahan. Justin Eldridge, Mikhail Belkin, Yusu Wang |
| 2018 | Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs. Mohammad Sadegh Talebi, Odalric-Ambrym Maillard |
| 2018 | {Multi-Player Bandits Revisited}. Lilian Besson, Emilie Kaufmann |