Stochastic Methods

On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020 On the Convergence of SARAH and Beyond AISTATS 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020 Open Problem: Tight Convergence of SGD in Constant Dimension COLT 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks NeurIPS 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020 Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020 Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead ICML 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 Random Reshuffling is Not Always Better NeurIPS 2020 Random Reshuffling: Simple Analysis with Vast Improvements NeurIPS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020 Real-Time Multi-Person Pose Tracking using Data Assimilation WACV 2020 Reanalysis of Variance Reduced Temporal Difference Learning ICLR 2020 Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020 Riccati updates for online linear quadratic control L4DC 2020 Robust, Accurate Stochastic Optimization for Variational Inference NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations NeurIPS 2020 Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NeurIPS 2020 SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020