Abstract is missing.
- Algorithmic Learning Theory ALT 2017: Preface1-2 [doi]
- Pure Exploration in Infinitely-Armed Bandit Models with Fixed-ConfidenceMaryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam. 3-24 [doi]
- Learners that Use Little InformationRaef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff. 25-55 [doi]
- {Multi-Player Bandits Revisited}Lilian Besson, Emilie Kaufmann. 56-92 [doi]
- Adaptive Group Testing Algorithms to Estimate the Number of DefectivesNader H. Bshouty, Vivian E. Bshouty-Hurani, George Haddad, Thomas Hashem, Fadi Khoury, Omar Sharafy. 93-110 [doi]
- Sparsity, variance and curvature in multi-armed banditsSébastien Bubeck, Michael B. Cohen, Yuanzhi Li. 111-127 [doi]
- Bandit Regret Scaling with the Effective Loss RangeNicolò Cesa-Bianchi, Ohad Shamir. 128-151 [doi]
- Structure Learning of ${H}$-coloringsAntonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda. 152-185 [doi]
- Convergence of Langevin MCMC in KL-divergenceXiang Cheng, Peter L. Bartlett. 186-211 [doi]
- Ranking Median Regression: Learning to Order through Local ConsensusStéphan Clémençon, Anna Korba, Eric Sibony. 212-245 [doi]
- Coordinate Descent Faceoff: Primal or Dual?Dominik Csiba, Peter Richtárik. 246-267 [doi]
- A Better Resource Allocation Algorithm with Semi-Bandit FeedbackYuvan Dagan, Crammer Koby. 268-320 [doi]
- Unperturbed: spectral analysis beyond Davis-KahanJustin Eldridge, Mikhail Belkin, Yusu Wang. 321-358 [doi]
- Decision making with limited feedbackDanielle Ensign, Frielder A. Sorelle, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian. 359-367 [doi]
- Robust Inference for Multiclass ClassificationUriel Feige, Yishay Mansour, Robert E. Schapire. 368-386 [doi]
- Corrupt Bandits for Preserving Local PrivacyPratik Gajane, Tanguy Urvoy, Emilie Kaufmann. 387-412 [doi]
- On the Help of Bounded Shot Verifiers, Comparators and Standardisers for Learnability in Inductive InferenceZiyuan Gao, Sanjay Jain, Frank Stephan 0001, Thomas Zeugmann. 413-437 [doi]
- Smooth Sensitivity Based Approach for Differentially Private PCAAlon Gonem, Ran Gilad-Bachrach. 438-450 [doi]
- Dimension-free Information Concentration via Exp-ConcavityYa-Ping Hsieh, Volkan Cevher. 451-469 [doi]
- Minimax Optimal Bayes Mixtures for Memoryless Sources over Large AlphabetsElias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos. 470-488 [doi]
- Learning Decision Trees with Stochastic Linear ClassifiersTom Jurgenson, Yishay Mansour. 489-528 [doi]
- Instrument-Armed BanditsNathan Kallus. 529-546 [doi]
- An Adaptive Strategy for Active Learning with Smooth Decision BoundaryAndrea Locatelli, Alexandra Carpentier, Samory Kpotufe. 547-571 [doi]
- Learning under $p$-Tampering AttacksSaeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody. 572-596 [doi]
- Markov Decision Processes with Continuous Side InformationAditya Modi 0002, Nan Jiang, Satinder P. Singh, Ambuj Tewari. 597-618 [doi]
- Clustering Algorithms for the Centralized and Local ModelsKobbi Nissim, Uri Stemmer. 619-653 [doi]
- On Similarity Prediction and Pairwise ClusteringStephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster. 654-681 [doi]
- Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitznessAnastasia Pentina, Shai Ben-David. 682-701 [doi]
- Online Learning of Combinatorial Objects via Extended FormulationHolakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan. 702-724 [doi]
- The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with CovariatesHenry W. J. Reeve, Joe Mellor, Gavin Brown 0001. 725-752 [doi]
- Sequential prediction with coded side information under logarithmic lossYanina Shkel, Maxim Raginsky, Sergio Verdú. 753-769 [doi]
- Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPsMohammad Sadegh Talebi, Odalric-Ambrym Maillard. 770-805 [doi]
- Efficient coordinate-wise leading eigenvector computationJialei Wang, Weiran Wang, Dan Garber, Nathan Srebro. 806-820 [doi]
- Minimax Rates and Efficient Algorithms for Noisy SortingCheng Mao, Jonathan Weed, Philippe Rigollet. 821-847 [doi]