control variate

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation ICLR 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018 The price of debiasing automatic metrics in natural language evalaution ACL 2018 Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018 Using Large Ensembles of Control Variates for Variational Inference NeurIPS 2018 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 Gray-box Inference for Structured Gaussian Process Models AISTATS 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NeurIPS 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017 REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NeurIPS 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Variance Reduction in Monte-Carlo Tree Search NeurIPS 2011 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006