risk estimation

Minimax Limits of k-Fold Cross-Validation via Majority COLT 2026 Unstitching the Chimera: Frame-Level Risk and Train-Free Mitigation for Video Hallucination CVPR 2026 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023 Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023 Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles RSS 2023 Empirical Risk Minimization under Random Censorship JMLR 2022 Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization ACML 2022 A Precise Performance Analysis of Support Vector Regression ICML 2021 Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021 Estimation of Spectral Risk Measures AAAI 2021 Learning from Similarity-Confidence Data ICML 2021 Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021 Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NeurIPS 2020 Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019 On Binary Classification in Extreme Regions NeurIPS 2018 PAC-Bayes bounds for stable algorithms with instance-dependent priors NeurIPS 2018 Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classifier JMLR 2018 Learning from Complementary Labels NeurIPS 2017 A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions Interspeech 2016