Optimization

Stochastic Flows and Geometric Optimization on the Orthogonal Group ICML 2020 Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization ICML 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020 Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020 Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020 Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020 Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020 Stochastic Optimization for Performative Prediction NeurIPS 2020 Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping NeurIPS 2020 Stochastic Optimization with Laggard Data Pipelines NeurIPS 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 Stochastic Sparse Subspace Clustering CVPR 2020 Stochastic Subspace Cubic Newton Method ICML 2020 Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well ICLR 2020 Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NeurIPS 2020 Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020 Streaming Coresets for Symmetric Tensor Factorization ICML 2020 Streaming k-Submodular Maximization under Noise subject to Size Constraint ICML 2020 Streaming Submodular Maximization under a k-Set System Constraint ICML 2020 Strongly Budget Balanced Auctions for Multi-Sided Markets AAAI 2020 Structure Adaptive Algorithms for Stochastic Bandits ICML 2020 Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020 Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis ICML 2020