conftrace_

importance sampling

318 papers

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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

Active Adversarial Domain Adaptation WACV 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
On Importance Sampling-Based Evaluation of Latent Language Models ACL 2020
Off-Policy Actor-Critic with Shared Experience Replay ICML 2020
Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020
From Importance Sampling to Doubly Robust Policy Gradient ICML 2020
Momentum-Based Policy Gradient Methods ICML 2020
A/B Testing in Dense Large-Scale Networks: Design and Inference NIPS 2020
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NIPS 2020
Robust Gradient-Based Markov Subsampling AAAI 2020
No Gestures Left Behind: Learning Relationships between Spoken Language and Freeform Gestures EMNLP 2020
Stochastic Normalizing Flows NIPS 2020
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NIPS 2020
Sampling-Decomposable Generative Adversarial Recommender NIPS 2020
Decision-Making with Auto-Encoding Variational Bayes NIPS 2020
f-Divergence Variational Inference NIPS 2020
Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020
Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020
A Generative Model for Molecular Distance Geometry ICML 2020
Scaling Up AND/OR Abstraction Sampling IJCAI 2020
Conditional Importance Sampling for Off-Policy Learning AISTATS 2020