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Editors: Shipra Agrawal, Francesco Orabona
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Algorithmic Learning Theory 2023: Preface
; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1-2
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Variance-Reduced Conservative Policy Iteration
Naman Agarwal, Brian Bullins, Karan Singh; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:3-33
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Testing Tail Weight of a Distribution Via Hazard Rate
Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran, Ronitt Rubinfeld; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:34-81
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Reconstructing Ultrametric Trees from Noisy Experiments
Eshwar Ram Arunachaleswaran, Anindya De, Sampath Kannan; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:82-114
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Adversarially Robust Learning with Tolerance
Hassan Ashtiani, Vinayak Pathak, Ruth Urner; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:115-135
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On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
Antoine Barrier, Aurélien Garivier, Gilles Stoltz; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:136-181
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Robust Empirical Risk Minimization with Tolerance
Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:182-203
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Online k-means Clustering on Arbitrary Data Streams
Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:204-236
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The Replicator Dynamic, Chain Components and the Response Graph
Oliver Biggar, Iman Shames; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:237-258
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A Query Algorithm for Learning a Spanning Forest in Weighted Undirected Graphs
Deeparnab Chakrabarty, Hang Liao; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:259-274
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Spatially Adaptive Online Prediction of Piecewise Regular Functions
Sabyasachi Chatterjee, Subhajit Goswami; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:275-309
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Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path
Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:310-357
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On the complexity of finding stationary points of smooth functions in one dimension
Sinho Chewi, Sébastien Bubeck, Adil Salim; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:358-374
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Fisher information lower bounds for sampling
Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:375-410
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Robust Estimation of Discrete Distributions under Local Differential Privacy
Julien Chhor, Flore Sentenac; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:411-446
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Wide stochastic networks: Gaussian limit and PAC-Bayesian training
Eugenio Clerico, George Deligiannidis, Arnaud Doucet; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:447-470
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Pseudonorm Approachability and Applications to Regret Minimization
Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balubramanian Sivan; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:471-509
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A Unified Algorithm for Stochastic Path Problems
Christoph Dann, Chen-Yu Wei, Julian Zimmert; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:510-557
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SQ Lower Bounds for Random Sparse Planted Vector Problem
Jingqiu Ding, Yiding Hua; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:558-596
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On The Computational Complexity of Self-Attention
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:597-619
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Online Learning with Off-Policy Feedback
Germano Gabbianelli, Gergely Neu, Matteo Papini; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:620-641
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Online Learning for Traffic Navigation in Congested Networks
Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:642-662
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Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam, Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:663-706
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On Computable Online Learning
Niki Hasrati, Shai Ben-David; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:707-725
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Follow-the-Perturbed-Leader Achieves Best-of-Both-Worlds for Bandit Problems
Junya Honda, Shinji Ito, Taira Tsuchiya; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:726-754
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Linear Reinforcement Learning with Ball Structure Action Space
Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:755-775
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Dealing with Unknown Variances in Best-Arm Identification
Marc Jourdan, Degenne Rémy, Kaufmann Emilie; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:776-849
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Complexity Analysis of a Countable-armed Bandit Problem
Anand Kalvit, Assaf Zeevi; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:850-890
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Primal-Dual Algorithms with Predictions for Online Bounded Allocation and Ad-Auctions Problems
Enikő Kevi, Kim Tháng Nguyễn; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:891-908
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Max-Quantile Grouped Infinite-Arm Bandits
Ivan Lau, Yan Hao Ling, Mayank Shrivastava, Jonathan Scarlett; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:909-945
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Convergence of score-based generative modeling for general data distributions
Holden Lee, Jianfeng Lu, Yixin Tan; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:946-985
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Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
Andrew Lowy, Meisam Razaviyayn; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:986-1054
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Projection-free Adaptive Regret with Membership Oracles
Zhou Lu, Nataly Brukhim, Paula Gradu, Elad Hazan; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1055-1073
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Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs
Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1074-1100
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Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization
Gergely Neu, Nneka Okolo; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1101-1123
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Adversarial Online Multi-Task Reinforcement Learning
Quan Nguyen, Nishant Mehta; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1124-1165
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An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
Aldo Pacchiano, Peter Bartlett, Michael Jordan; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1166-1215
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Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes
Junhyung Park, Krikamol Muandet; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1216-1260
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Perceptronic Complexity and Online Matrix Completion
Stephen Pasteris; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1261-1291
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Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
Anant Raj, Melih Barsbey, Mert Gurbuzbalaban, Lingjiong Zhu, Umut Şim\scekli; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1292-1342
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Constant regret for sequence prediction with limited advice
El Mehdi Saad, Gilles Blanchard; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1343-1386
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Adaptive Power Method: Eigenvector Estimation from Sampled Data
Seiyun Shin, Han Zhao, Ilan Shomorony; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1387-1410
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Tournaments, Johnson Graphs and NC-Teaching
Hans U. Simon; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1411-1428
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Implicit Regularization Towards Rank Minimization in ReLU Networks
Nadav Timor, Gal Vardi, Ohad Shamir; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1429-1459
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Optimistic PAC Reinforcement Learning: the Instance-Dependent View
Andrea Tirinzoni, Aymen Al-Marjani, Emilie Kaufmann; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1460-1480
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Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1481-1483
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Best-of-Both-Worlds Algorithms for Partial Monitoring
Taira Tsuchiya, Shinji Ito, Junya Honda; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1484-1515
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Dictionary Learning for the Almost-Linear Sparsity Regime
Alexei Novikov, Stephen White; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1516-1554
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Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions
Fan Zhou, Ping Li, Cun-Hui Zhang; Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1555-1578
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