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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

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Unbiased Generative Semi-Supervised Learning JMLR 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
B-test: A Non-parametric, Low Variance Kernel Two-sample Test NIPS 2013
Near-Optimal Bounds for Cross-Validation via Loss Stability ICML 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NIPS 2012
Variance Penalizing AdaBoost NIPS 2011
Variance Reduction in Monte-Carlo Tree Search NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Analysis and Improvement of Policy Gradient Estimation NIPS 2011
On Combining Graph-based Variance Reduction schemes AISTATS 2010
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Bayesian Policy Gradient Algorithms NIPS 2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning JMLR 2004