Mathematics & Optimization

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022 Two-Sided Matching over Social Networks IJCAI 2022 Two-Sided Weak Submodularity for Matroid Constrained Optimization and Regression COLT 2022 Two-way Sparse Network Inference for Count Data AISTATS 2022 Unbiased and Efficient Sampling of Dependency Trees EMNLP 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NeurIPS 2022 Undercover Boolean Matrix Factorization with MaxSAT AAAI 2022 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022 Understanding Doubly Stochastic Clustering ICML 2022 Understanding Riemannian Acceleration via a Proximal Extragradient Framework COLT 2022 Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces ICML 2022 Unified Optimal Transport Framework for Universal Domain Adaptation NeurIPS 2022 Uniform deconvolution for Poisson Point Processes JMLR 2022 Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 UniRank: Unimodal Bandit Algorithms for Online Ranking ICML 2022 Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022 Universal and Tight Online Algorithms for Generalized-Mean Welfare AAAI 2022 Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022 Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation NeurIPS 2022 Unsupervised Tokenization Learning EMNLP 2022 Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering Interspeech 2022 Uplifting Bandits NeurIPS 2022