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stochastic optimization

1,137 papers

SO

Papers

An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020 An adaptive stochastic optimization algorithm for resource allocation ALT 2020 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 A Simple Online Algorithm for Competing with Dynamic Comparators UAI 2020 A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm NeurIPS 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020 Bandit Linear Control NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks NeurIPS 2020 Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NeurIPS 2020 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020 Byzantine Resilient Distributed Multi-Task Learning NeurIPS 2020 Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020 Conditional gradient methods for stochastically constrained convex minimization ICML 2020 Delay-Adaptive Distributed Stochastic Optimization AAAI 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020 Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy AISTATS 2020 Efficient improper learning for online logistic regression COLT 2020 Efficient Projection-free Algorithms for Saddle Point Problems NeurIPS 2020