conftrace_

covariate shift

157 papers

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Co-occurring keywords

domain adaptation (4595) distribution shift (722) domain generalization (1522) causal inference (1630) transfer learning (5449) out-of-distribution detection (617) importance weighting (59) uncertainty quantification (1393) semi-supervised learning (2341) density ratio estimation (48)

Papers

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data NIPS 2021
Confidence Calibration for Domain Generalization Under Covariate Shift ICCV 2021
Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment NIPS 2021
Overparameterization Improves Robustness to Covariate Shift in High Dimensions NIPS 2021
Efficient Learning with Arbitrary Covariate Shift ALT 2021
Weighted model estimation for offline model-based reinforcement learning NIPS 2021
Domain adaptation under structural causal models JMLR 2021
Dangers of Bayesian Model Averaging under Covariate Shift NIPS 2021
Learning from Biased Data: A Semi-Parametric Approach ICML 2021
Measuring Dependence with Matrix-based Entropy Functional AAAI 2021
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020
Simulator Calibration under Covariate Shift with Kernels AISTATS 2020
A One-step Approach to Covariate Shift Adaptation ACML 2020
Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Weakly-Supervised Disentanglement Without Compromises ICML 2020
Ensembles of Locally Independent Prediction Models AAAI 2020
Robust Correction of Sampling Bias using Cumulative Distribution Functions NIPS 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Improving robustness against common corruptions by covariate shift adaptation NIPS 2020