Stochastic Methods

Estimating High Order Gradients of the Data Distribution by Denoising NeurIPS 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021 Evolutionary Gradient Descent for Non-convex Optimization IJCAI 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 Expanding Boundaries of Gap Safe Screening JMLR 2021 Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021 Far-Field Speaker Localization and Adaptive GLMB Tracking Interspeech 2021 Fast and accurate randomized algorithms for low-rank tensor decompositions NeurIPS 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021 Fast and Light Bandwidth Testing for Internet Users NSDI 2021 Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections NeurIPS 2021 Fast convergence of stochastic subgradient method under interpolation ICLR 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NeurIPS 2021 Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions IJCAI 2021 Faster Non-asymptotic Convergence for Double Q-learning NeurIPS 2021 Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021 Fast Rate Learning in Stochastic First Price Bidding ACML 2021 Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021 Fast Training Method for Stochastic Compositional Optimization Problems NeurIPS 2021 FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NeurIPS 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021