Mathematics

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NeurIPS 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Revisiting Bayesian network learning with small vertex cover UAI 2023 Revisiting Entropy Rate Constancy in Text EMNLP 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting the P3P Problem CVPR 2023 Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract) IJCAI 2023 Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023 Riemannian Projection-free Online Learning NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023 Risk-limiting financial audits via weighted sampling without replacement UAI 2023 Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023 Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023 Robust covariance estimation with missing values and cell-wise contamination NeurIPS 2023 Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023 Robust Mean Estimation Without Moments for Symmetric Distributions NeurIPS 2023 Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Sample Complexity of Probability Divergences under Group Symmetry ICML 2023 Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023 Sampling From a Schrödinger Bridge AISTATS 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Sampling with Mollified Interaction Energy Descent ICLR 2023 SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract) IJCAI 2023 Scalable and Effective Conductance-Based Graph Clustering AAAI 2023