variance reduction

Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning JMLR 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Knowledge Distillation Performs Partial Variance Reduction NeurIPS 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023 Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023 Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023 Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023 On Many-Actions Policy Gradient ICML 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023 Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NeurIPS 2023 Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NeurIPS 2023 Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023 Quantile Credit Assignment ICML 2023 Quantum speedups for stochastic optimization NeurIPS 2023 Random Reshuffling with Variance Reduction: New Analysis and Better Rates UAI 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time NeurIPS 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023