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stochastic gradient

296 papers

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Also known as

SGVB SVRG SGHMC SGLD SG SGMCMC SGD

Co-occurring keywords

variance reduction (520) markov chain monte carlo (724) stochastic optimization (1060) bayesian inference (1904) stochastic gradient descent (1088) convex optimization (1320) nonconvex optimization (316) convergence rate (606) langevin dynamics (128) variational inference (2069)

Papers

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NIPS 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
Dual-Free Stochastic Decentralized Optimization with Variance Reduction NIPS 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NIPS 2020
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning AAAI 2020
Decentralized Langevin Dynamics for Bayesian Learning NIPS 2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function NIPS 2020
Stochastic Optimization for Regularized Wasserstein Estimators ICML 2020
Stochastic Regret Minimization in Extensive-Form Games ICML 2020
Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020
Provable Gradient Variance Guarantees for Black-Box Variational Inference NIPS 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
Necessary and Sufficient Geometries for Gradient Methods NIPS 2019
Towards closing the gap between the theory and practice of SVRG NIPS 2019
Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019
Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number ICML 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics AISTATS 2019
Stochastic Gradient Trees ACML 2019