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

Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Energy-Based Sliced Wasserstein Distance NIPS 2023
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation NIPS 2023
PA&DA: Jointly Sampling Path and Data for Consistent NAS CVPR 2023
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NIPS 2023
Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NIPS 2023
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NIPS 2023
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022
Estimators of Entropy and Information via Inference in Probabilistic Models AISTATS 2022
Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NIPS 2022
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning AAAI 2022
Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling AAAI 2022
Algorithms for the Communication of Samples ICML 2022
Stochastic Reweighted Gradient Descent ICML 2022
USHER: Unbiased Sampling for Hindsight Experience Replay CORL 2022
Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization AAAI 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling NIPS 2022