Continuous Optimization

Learning in Stochastic Monotone Games with Decision-Dependent Data AISTATS 2022 Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022 Learning Mixed Multinomial Logits with Provable Guarantees NeurIPS 2022 Learning To Solve Hard Minimal Problems CVPR 2022 Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022 Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022 Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity NeurIPS 2022 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NeurIPS 2022 Low-rank Optimal Transport: Approximation, Statistics and Debiasing NeurIPS 2022 Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization JMLR 2022 Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains IJCAI 2022 Measure Estimation in the Barycentric Coding Model ICML 2022 Measuring dissimilarity with diffeomorphism invariance ICML 2022 MemLiner: Lining up Tracing and Application for a Far-Memory-Friendly Runtime OSDI 2022 Meta-Auto-Decoder for Solving Parametric Partial Differential Equations NeurIPS 2022 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NeurIPS 2022 Minimax Optimization: The Case of Convex-Submodular AISTATS 2022 Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently NeurIPS 2022 Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM NeurIPS 2022