variance reduction

SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Spectral Subsampling MCMC for Stationary Time Series ICML 2020 Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020 Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020 Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Understanding the Limitations of Variational Mutual Information Estimators ICLR 2020 Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NeurIPS 2020 Variance Reduction With Sparse Gradients ICLR 2020 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019 A Composite Randomized Incremental Gradient Method ICML 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 Adaptive Antithetic Sampling for Variance Reduction ICML 2019 Adaptive Hashing for Model Counting UAI 2019 Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization AAAI 2019