variance reduction

Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022 Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022 Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022 Boosting Randomized Smoothing with Variance Reduced Classifiers ICLR 2022 Bregman Gradient Policy Optimization ICLR 2022 BR-SNIS: Bias Reduced Self-Normalized Importance Sampling NeurIPS 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Direct Advantage Estimation NeurIPS 2022 Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Efficient Variance Reduction for Meta-learning ICML 2022 Enhanced Bilevel Optimization via Bregman Distance NeurIPS 2022 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 Gradient Estimation with Discrete Stein Operators NeurIPS 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NeurIPS 2022 Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022 Is High Variance Unavoidable in RL? A Case Study in Continuous Control ICLR 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 Learning Optimal Flows for Non-Equilibrium Importance Sampling NeurIPS 2022