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

Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NIPS 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLEAR 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
GGD: Grafting Gradient Descent JMLR 2024
Pareto Smoothed Importance Sampling JMLR 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
Accelerating Neural Field Training via Soft Mining CVPR 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Adversarial Likelihood Estimation With One-Way Flows WACV 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
Should you marginalize over possible tokenizations? ACL 2023
VLIS: Unimodal Language Models Guide Multimodal Language Generation EMNLP 2023
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NIPS 2023
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling AISTATS 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NIPS 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023
Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023