| 2018 | Instrument-Armed Bandits. | Nathan Kallus |
| 2018 | Learning Decision Trees with Stochastic Linear Classifiers. | Tom Jurgenson, Yishay Mansour |
| 2018 | Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. | Elias Jsaari, Janne Lepp-aho, Tomi Silander, Teemu Roos |
| 2018 | Dimension-free Information Concentration via Exp-Concavity. | Ya-Ping Hsieh, Volkan Cevher |
| 2018 | Smooth Sensitivity Based Approach for Differentially Private PCA. | Alon Gonem, Ran Gilad-Bachrach |
| 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 | Corrupt Bandits for Preserving Local Privacy. | Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann |
| 2018 | Robust Inference for Multiclass Classification. | Uriel Feige, Yishay Mansour, Robert E. Schapire |
| 2018 | Decision making with limited feedback. | Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian |
| 2018 | Unperturbed: spectral analysis beyond Davis-Kahan. | Justin Eldridge, Mikhail Belkin, Yusu Wang |
| 2018 | A Better Resource Allocation Algorithm with Semi-Bandit Feedback. | Yuval Dagan, Koby Crammer |
| 2018 | Coordinate Descent Faceoff: Primal or Dual? | Dominik Csiba, Peter Richtrik |
| 2018 | Ranking Median Regression: Learning to Order through Local Consensus. | Stphan Clmenon, Anna Korba, Eric Sibony |
| 2018 | Convergence of Langevin MCMC in KL-divergence. | Xiang Cheng, Peter L. Bartlett |
| 2018 | Bandit Regret Scaling with the Effective Loss Range. | Nicol Cesa-Bianchi, Ohad Shamir |
| 2018 | Sparsity, variance and curvature in multi-armed bandits. | Sbastien Bubeck, Michael B. Cohen, Yuanzhi Li |
| 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 | Structure Learning of ${H}$-colorings. | Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda |
| 2018 | {Multi-Player Bandits Revisited}. | Lilian Besson, Emilie Kaufmann |
| 2018 | Learners that Use Little Information. | Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff |
| 2018 | Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. | Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam |
| 2018 | Markov Decision Processes with Continuous Side Information. | Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari |
| 2017 | Learning from Networked Examples. | Yuyi Wang, Zheng-Chu Guo, Jan Ramon |
| 2017 | A Strongly Quasiconvex PAC-Bayesian Bound. | Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin |
| 2017 | Hypotheses testing on infinite random graphs. | Daniil Ryabko |