Mathematics & Optimization

Sample Complexity of Probability Divergences under Group Symmetry ICML 2023 Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023 Sampling Ex-Post Group-Fair Rankings IJCAI 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 SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023 Scalable and Effective Conductance-Based Graph Clustering AAAI 2023 Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming AAAI 2023 Scalable and robust tensor ring decomposition for large-scale data UAI 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover AISTATS 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Scalable Fair Influence Maximization NeurIPS 2023 Scalable Optimal Multiway-Split Decision Trees with Constraints AAAI 2023 Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023 ScaleDB: A Scalable, Asynchronous In-Memory Database OSDI 2023 Scale Invariant Power Iteration JMLR 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023 Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking NeurIPS 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023 Second-Order Optimization with Lazy Hessians ICML 2023 Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023