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density ratio

30 papers

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DR

Co-occurring keywords

density ratio estimation (48) domain adaptation (4595) shallow fusion (15) kernel methods (1097) off-policy learning (228) distribution shift (722) covariate shift (157) importance sampling (318) sample complexity (1169) off-policy evaluation (144)

Papers

Collaborative likelihood-ratio estimation over graphs JMLR 2025
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Text-only Domain Adaptation for CTC-based Speech Recognition through Substitution of Implicit Linguistic Information in the Search Space INTERSPEECH 2024
Rejection via Learning Density Ratios NIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024
Marginalized Importance Sampling for Off-Environment Policy Evaluation CORL 2023
Knowledge Distillation Approach for Efficient Internal Language Model Estimation INTERSPEECH 2023
Variational Weighting for Kernel Density Ratios NIPS 2023
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023
Multicalibrated Partitions for Importance Weights ALT 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability COLT 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
An Empirical Study of Language Model Integration for Transducer based Speech Recognition INTERSPEECH 2022
On Gap-dependent Bounds for Offline Reinforcement Learning NIPS 2022
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions NIPS 2022
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021
A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021
Mandoline: Model Evaluation under Distribution Shift ICML 2021
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems INTERSPEECH 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
The Implicit Metropolis-Hastings Algorithm NIPS 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019