| 2017 | Universality of Bayesian mixture predictors. | Daniil Ryabko |
| 2017 | Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours. | Henry W. J. Reeve, Gavin Brown |
| 2017 | Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. | Laurent Orseau, Tor Lattimore, Shane Legg |
| 2017 | Collaborative Clustering: Sample Complexity and Efficient Algorithms. | Jungseul Ok, Se-Young Yun, Alexandre Proutire, Rami Mochaourab |
| 2017 | Efficient tracking of a growing number of experts. | Jaouad Mourtada, Odalric-Ambrym Maillard |
| 2017 | An efficient query learning algorithm for zero-suppressed binary decision diagrams. | Hayato Mizumoto, Shota Todoroki, Diptarama, Ryo Yoshinaka, Ayumi Shinohara |
| 2017 | A minimax and asymptotically optimal algorithm for stochastic bandits. | Pierre Mnard, Aurlien Garivier |
| 2017 | Boundary Crossing for General Exponential Families. | Odalric-Ambrym Maillard |
| 2017 | Specifying a positive threshold function via extremal points. | Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh |
| 2017 | New bounds on the price of bandit feedback for mistake-bounded online multiclass learning. | Philip M. Long |
| 2017 | Normal Forms in Semantic Language Identification. | Timo Ktzing, Martin Schirneck, Karen Seidel |
| 2017 | Scale-Invariant Unconstrained Online Learning. | Wojciech Kotlowski |
| 2017 | On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? | Ata Kabn |
| 2017 | A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds. | Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |
| 2017 | Graph Verification with a Betweenness Oracle. | Mano Vikash Janardhanan |
| 2017 | Structured Best Arm Identification with Fixed Confidence. | Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvri, Martin Mller |
| 2017 | Automatic Learning from Repetitive Texts. | Rupert Hlzl, Sanjay Jain, Philipp Schlicht, Karen Seidel, Frank Stephan |
| 2017 | Algorithmic Learning Theory (ALT) 2017: Preface. | |
| 2017 | Parameter identification in Markov chain choice models. | Arushi Gupta, Daniel Hsu |
| 2017 | Learning MSO-definable hypotheses on strings. | Martin Grohe, Christof Lding, Martin Ritzert |
| 2017 | Preference-based Teaching of Unions of Geometric Objects. | Ziyuan Gao, David G. Kirkpatrick, Christoph Ries, Hans Ulrich Simon, Sandra Zilles |
| 2017 | Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. | Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli |
| 2017 | Tight Bounds on ℓ | Vitaly Feldman, Pravesh Kothari, Jan Vondrk |
| 2017 | Dealing with Range Anxiety in Mean Estimation via Statistical Queries. | Vitaly Feldman |
| 2017 | The Complexity of Explaining Neural Networks Through (group) Invariants. | Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian |