conftrace_

control variate

54 papers

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Co-occurring keywords

variance reduction (523) variational inference (2069) gradient estimation (150) federated learning (1333) gradient estimator (59) stochastic gradient descent (1091) stochastic optimization (1060) policy gradient (520) bayesian inference (1907) gradient variance (31)

Papers

VarGrad: A Low-Variance Gradient Estimator for Variational Inference NIPS 2020
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020
Approximation Based Variance Reduction for Reparameterization Gradients NIPS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation ICML 2019
Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018
The price of debiasing automatic metrics in natural language evalaution ACL 2018
Using Large Ensembles of Control Variates for Variational Inference NIPS 2018
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018
Policy Optimization with Second-Order Advantage Information IJCAI 2018
Reducing Reparameterization Gradient Variance NIPS 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 NIPS 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017