importance sampling

Importance Sampling via Local Sensitivity AISTATS 2020 Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning COLING 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Integrals over Gaussians under Linear Domain Constraints AISTATS 2020 Learning Dexterous Manipulation from Suboptimal Experts CoRL 2020 Momentum-Based Policy Gradient Methods ICML 2020 Mutual Information Estimation using LSH Sampling IJCAI 2020 No Gestures Left Behind: Learning Relationships between Spoken Language and Freeform Gestures EMNLP 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 On Importance Sampling-Based Evaluation of Latent Language Models ACL 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Residual Energy-Based Models for Text Generation ICLR 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Sampling-Decomposable Generative Adversarial Recommender NeurIPS 2020 Sampling Without Compromising Accuracy in Adaptive Data Analysis ALT 2020 Scaling Up AND/OR Abstraction Sampling IJCAI 2020 Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions AISTATS 2020 Stochastic Normalizing Flows NeurIPS 2020 Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Amortized Monte Carlo Integration ICML 2019 An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019