control variate

Toward More Effective Human Evaluation for Machine Translation ACL 2022 Breaking the centralized barrier for cross-device federated learning NeurIPS 2021 Control Variates for Slate Off-Policy Evaluation NeurIPS 2021 Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick ACML 2021 Stochastic Multi-Armed Bandits with Control Variates NeurIPS 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021 Variance reduction in frequency estimators via control variates method UAI 2021 A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 Approximation Based Variance Reduction for Reparameterization Gradients NeurIPS 2020 A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020 Hamiltonian Monte Carlo Swindles AISTATS 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019 Pathwise Derivatives for Multivariate Distributions AISTATS 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019 Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019 Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation ICML 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Action-dependent Control Variates for Policy Optimization via Stein Identity ICLR 2018