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variance reduction

523 papers

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Also known as

VR

Co-occurring keywords

stochastic optimization (1060) stochastic gradient descent (1091) stochastic gradient (296) reinforcement learning (4352) policy gradient (520) nonconvex optimization (316) gradient estimation (150) non-convex optimization (547) importance sampling (318) control variate (54)

Papers

Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019
Variance Reduced Policy Evaluation with Smooth Function Approximation NIPS 2019
Variance Reduction for Matrix Games NIPS 2019
Variance Reduction in Bipartite Experiments through Correlation Clustering NIPS 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019
Efficient Counterfactual Learning from Bandit Feedback AAAI 2019
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning NIPS 2019
Minimal Variance Sampling in Stochastic Gradient Boosting NIPS 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Trust Region Sequential Variational Inference ACML 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization ICML 2019
Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019
Continuous-time Models for Stochastic Optimization Algorithms NIPS 2019
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Clipped Action Policy Gradient ICML 2018
On Acceleration with Noise-Corrupted Gradients ICML 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018