Co-occurring keywords · papers mentioning both
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