stochastic variance reduced gradient

A Coefficient Makes SVRG Effective ICLR 2025 SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NeurIPS 2022 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Acceleration of SVRG and Katyusha X by Inexact Preconditioning ICML 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Estimate Sequences for Variance-Reduced Stochastic Composite Optimization ICML 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018 A Smoother Way to Train Structured Prediction Models NeurIPS 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Breaking the Span Assumption Yields Fast Finite-Sum Minimization NeurIPS 2018 Catalyst for Gradient-based Nonconvex Optimization AISTATS 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018 Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NeurIPS 2018 Stochastic Nested Variance Reduction for Nonconvex Optimization NeurIPS 2018 The Lingering of Gradients: How to Reuse Gradients Over Time NeurIPS 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018 Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017 Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement JMLR 2017