stochastic optimization

Principal component analysis in the stochastic differential privacy model UAI 2021 Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021 Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021 PROMPT: Probabilistic Motion Primitives based Trajectory Planning RSS 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Regret Minimization in Heavy-Tailed Bandits COLT 2021 Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021 Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NeurIPS 2021 ROI Maximization in Stochastic Online Decision-Making NeurIPS 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions ICLR 2021 Sifting through the noise: Universal first-order methods for stochastic variational inequalities NeurIPS 2021 SONIA: A Symmetric Blockwise Truncated Optimization Algorithm AISTATS 2021 Stability and Generalization for Randomized Coordinate Descent IJCAI 2021 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NeurIPS 2021 STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation RSS 2021 Stochastic $L^\natural$-convex Function Minimization NeurIPS 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NeurIPS 2021 Stochastic bandits with groups of similar arms. NeurIPS 2021 Stochastic Bias-Reduced Gradient Methods NeurIPS 2021 Stochastic Iterative Graph Matching ICML 2021 Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021 Stochastic Online Optimization using Kalman Recursion JMLR 2021 Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence NeurIPS 2021