conftrace_

importance weighting

59 papers

Explore in graph

Also known as

IW

Co-occurring keywords

domain adaptation (4595) distribution shift (722) covariate shift (157) variational inference (2069) contextual bandit (381) importance sampling (318) active learning (1301) off-policy evaluation (144) causal inference (1630) regret bound (1926)

Papers

Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026
One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025
Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025
PRODuctive bandits: Importance Weighting No More NIPS 2024
Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023
Correcting for selection bias and missing response in regression using privileged information UAI 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NIPS 2022
Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022
Mitigating statistical bias within differentially private synthetic data UAI 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments NIPS 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022
Importance Weighted Kernel Bayes’ Rule ICML 2022
Asymptotic optimality for active learning processes UAI 2022