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Papers (including subtopics)

Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NeurIPS 2023 OKRidge: Scalable Optimal k-Sparse Ridge Regression NeurIPS 2023 Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework ICLR 2023 Omnipredictors for Constrained Optimization ICML 2023 On a Class of Gibbs Sampling over Networks COLT 2023 On amortizing convex conjugates for optimal transport ICLR 2023 On Approximating Total Variation Distance IJCAI 2023 On a Voter Model with Context-Dependent Opinion Adoption IJCAI 2023 On Biased Compression for Distributed Learning JMLR 2023 On Certified Generalization in Structured Prediction NeurIPS 2023 On Computable Online Learning ALT 2023 On Computing Optimal Tree Ensembles ICML 2023 On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023 On Discovering Interesting Combinatorial Integer Sequences IJCAI 2023 On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NeurIPS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023 One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems ACL 2023 One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction IJCAI 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 On Kinetic Optimal Probability Paths for Generative Models ICML 2023 On Learning Rates and Schrödinger Operators JMLR 2023 Online Ad Allocation with Predictions NeurIPS 2023 Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations NeurIPS 2023 Online Ad Procurement in Non-stationary Autobidding Worlds NeurIPS 2023 Online Algorithms with Costly Predictions AISTATS 2023