stochastic optimization

Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NeurIPS 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 Single Loop Gaussian Homotopy Method for Non-convex Optimization NeurIPS 2022 Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization AAAI 2022 Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function ICML 2022 Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022 Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022 Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions NeurIPS 2022 Stochastic linear optimization never overfits with quadratically-bounded losses on general data COLT 2022 Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NeurIPS 2022 Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NeurIPS 2022 Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022 Stochastic Variance Reduction for Variational Inequality Methods COLT 2022 Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity JMLR 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NeurIPS 2022 The Perils of Learning Before Optimizing AAAI 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Optimal Communication Complexity in Distributed Non-Convex Optimization NeurIPS 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022 Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract) AAAI 2022 Variational nearest neighbor Gaussian process ICML 2022