Mathematics & Optimization

Nonstochastic Contextual Combinatorial Bandits AISTATS 2023 No-regret Algorithms for Fair Resource Allocation NeurIPS 2023 No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023 No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 Normalizing flow neural networks by JKO scheme NeurIPS 2023 Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023 No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023 Now We’re Talking: Better Deliberation Groups through Submodular Optimization AAAI 2023 NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques AAAI 2023 Octree Guided Unoriented Surface Reconstruction CVPR 2023 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 Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits ALT 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 Computing Pairwise Statistics with Local Differential Privacy NeurIPS 2023 On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023