variance reduction

An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020 An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods NeurIPS 2020 Approximation Based Variance Reduction for Reparameterization Gradients NeurIPS 2020 A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020 A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020 Bandit Samplers for Training Graph Neural Networks NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NeurIPS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 Conditional gradient methods for stochastically constrained convex minimization ICML 2020 Demystifying Orthogonal Monte Carlo and Beyond NeurIPS 2020 Differentiable Meta-Learning of Bandit Policies NeurIPS 2020 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NeurIPS 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020 Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction NeurIPS 2020 Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020 Estimating Gradients for Discrete Random Variables by Sampling without Replacement ICLR 2020 Expected Policy Gradients for Reinforcement Learning JMLR 2020 Extra-gradient with player sampling for faster convergence in n-player games ICML 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NeurIPS 2020 Hamiltonian Monte Carlo Swindles AISTATS 2020