Mathematics & Optimization

Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling AAAI 2022 Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022 FastDOG: Fast Discrete Optimization on GPU CVPR 2022 Faster Algorithms for Learning Convex Functions ICML 2022 Faster Algorithms for Weak Backdoors AAAI 2022 Faster and Scalable Algorithms for Densest Subgraph and Decomposition NeurIPS 2022 Faster Linear Algebra for Distance Matrices NeurIPS 2022 Faster Noisy Power Method ALT 2022 Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022 Faster Perturbed Stochastic Gradient Methods for Finding Local Minima ALT 2022 Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles AAAI 2022 Fast Instrument Learning with Faster Rates NeurIPS 2022 Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games AAAI 2022 Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022 Fast Regression for Structured Inputs ICLR 2022 Fast Relative Entropy Coding with A* coding ICML 2022 Fast Sparse Classification for Generalized Linear and Additive Models AISTATS 2022