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conftrace_

stochastic gradient method

22 papers

SGM

Papers

Computing Quasi-Nash Equilibria via Gradient-Response Schemes L4DC 2025 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 Stability and Generalization for Markov Chain Stochastic Gradient Methods NeurIPS 2022 The Dynamics of Riemannian Robbins-Monro Algorithms COLT 2022 A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020 Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization ICML 2020 Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Robust modal regression with direct gradient approximation of modal regression risk UAI 2020 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017 Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016 Generalization Properties and Implicit Regularization for Multiple Passes SGM ICML 2016 On the Influence of Momentum Acceleration on Online Learning JMLR 2016 Optimal Learning for Multi-pass Stochastic Gradient Methods NeurIPS 2016 Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NeurIPS 2016 Without-Replacement Sampling for Stochastic Gradient Methods NeurIPS 2016 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NeurIPS 2012 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009