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

Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022
Efficient inference for dynamic topic modeling with large vocabularies UAI 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Rapid Convergence of Informed Importance Tempering AISTATS 2022
Learning Proposals for Practical Energy-Based Regression AISTATS 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
Scaling Structured Inference with Randomization ICML 2022
Case-based off-policy evaluation using prototype learning UAI 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NIPS 2022
Self-Normalized Importance Sampling for Neural Language Modeling INTERSPEECH 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NIPS 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
Large Batch Experience Replay ICML 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NIPS 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling ICML 2022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising NIPS 2022
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling AAAI 2022
Offline policy optimization with eligible actions UAI 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NIPS 2021