conftrace_

stochastic gradient method

16 papers

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Also known as

SGM

Co-occurring keywords

stochastic gradient descent (1091) stochastic gradient (296) linear convergence (158) learning rate (192) convergence rate (607) kernel ridge regression (111) reproducing kernel hilbert space (334) sample complexity (1169) convergence analysis (395) exponential convergence rate (1)

Papers

Stability and Generalization for Markov Chain Stochastic Gradient Methods NIPS 2022
A Unified Convergence Theorem for Stochastic Optimization Methods NIPS 2022
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization ICML 2020
Robust modal regression with direct gradient approximation of modal regression risk UAI 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
Generalization Properties and Implicit Regularization for Multiple Passes SGM ICML 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
Without-Replacement Sampling for Stochastic Gradient Methods NIPS 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012