conftrace_

importance sampling

318 papers

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Also known as

IS

Co-occurring keywords

off-policy evaluation (144) variational inference (2069) variance reduction (523) reinforcement learning (4352) markov chain monte carlo (725) bayesian inference (1907) stochastic optimization (1060) off-policy learning (228) monte carlo method (126) policy optimization (657)

Papers

Generalizing the theory of cooperative inference AISTATS 2019
Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NIPS 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting NIPS 2019
Importance Resampling for Off-policy Prediction NIPS 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019
CounterFactual Regression with Importance Sampling Weights IJCAI 2019
Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019
Amortized Monte Carlo Integration ICML 2019
Autoregressive Energy Machines ICML 2019
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Deep Value Model Predictive Control CORL 2019
Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019
Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019
Combining parametric and nonparametric models for off-policy evaluation ICML 2019