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ORCID29th ALT 2018: Lanzarote, Spain
- Firdaus Janoos, Mehryar Mohri, Karthik Sridharan:
Algorithmic Learning Theory, ALT 2018, 7-9 April 2018, Lanzarote, Canary Islands, Spain. Proceedings of Machine Learning Research 83, PMLR 2018 - Algorithmic Learning Theory ALT 2017: Preface. 1-2
- Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam:
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. 3-24 - Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
Learners that Use Little Information. 25-55 - Lilian Besson, Emilie Kaufmann:
{Multi-Player Bandits Revisited}. 56-92 - Nader H. Bshouty, Vivian E. Bshouty-Hurani, George Haddad, Thomas Hashem, Fadi Khoury, Omar Sharafy:
Adaptive Group Testing Algorithms to Estimate the Number of Defectives. 93-110 - Sébastien Bubeck, Michael B. Cohen, Yuanzhi Li:
Sparsity, variance and curvature in multi-armed bandits. 111-127 - Nicolò Cesa-Bianchi, Ohad Shamir:
Bandit Regret Scaling with the Effective Loss Range. 128-151 - Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda:
Structure Learning of ${H}$-colorings. 152-185 - Xiang Cheng, Peter L. Bartlett:
Convergence of Langevin MCMC in KL-divergence. 186-211 - Stéphan Clémençon, Anna Korba, Eric Sibony:
Ranking Median Regression: Learning to Order through Local Consensus. 212-245 - Dominik Csiba, Peter Richtárik:
Coordinate Descent Faceoff: Primal or Dual? 246-267 - Yuval Dagan, Koby Crammer:
A Better Resource Allocation Algorithm with Semi-Bandit Feedback. 268-320 - Justin Eldridge, Mikhail Belkin, Yusu Wang:
Unperturbed: spectral analysis beyond Davis-Kahan. 321-358 - Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Decision making with limited feedback. 359-367 - Uriel Feige, Yishay Mansour, Robert E. Schapire:
Robust Inference for Multiclass Classification. 368-386 - Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann:
Corrupt Bandits for Preserving Local Privacy. 387-412 - Ziyuan Gao, Sanjay Jain, Frank Stephan, Thomas Zeugmann:
On the Help of Bounded Shot Verifiers, Comparators and Standardisers for Learnability in Inductive Inference. 413-437 - Alon Gonem, Ran Gilad-Bachrach:
Smooth Sensitivity Based Approach for Differentially Private PCA. 438-450 - Ya-Ping Hsieh, Volkan Cevher
:
Dimension-free Information Concentration via Exp-Concavity. 451-469 - Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos:
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. 470-488 - Tom Jurgenson, Yishay Mansour:
Learning Decision Trees with Stochastic Linear Classifiers. 489-528 - Nathan Kallus:
Instrument-Armed Bandits. 529-546 - Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe:
An Adaptive Strategy for Active Learning with Smooth Decision Boundary. 547-571 - Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody:
Learning under $p$-Tampering Attacks. 572-596 - Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari:
Markov Decision Processes with Continuous Side Information. 597-618 - Kobbi Nissim, Uri Stemmer:
Clustering Algorithms for the Centralized and Local Models. 619-653 - Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster:
On Similarity Prediction and Pairwise Clustering. 654-681 - Anastasia Pentina, Shai Ben-David:
Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness. 682-701 - Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan:
Online Learning of Combinatorial Objects via Extended Formulation. 702-724 - Henry W. J. Reeve, Joe Mellor, Gavin Brown:
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates. 725-752 - Yanina Shkel, Maxim Raginsky, Sergio Verdú:
Sequential prediction with coded side information under logarithmic loss. 753-769 - Mohammad Sadegh Talebi, Odalric-Ambrym Maillard:
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs. 770-805 - Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro:
Efficient coordinate-wise leading eigenvector computation. 806-820 - Cheng Mao, Jonathan Weed, Philippe Rigollet:
Minimax Rates and Efficient Algorithms for Noisy Sorting. 821-847
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