conftrace_

risk estimation

30 papers

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Co-occurring keywords

binary classification (678) weakly supervised learning (1328) unlabeled datum (120) classification risk (12) complementary label (8) stein unbiased risk estimate (3) loss function (462) positive-unlabeled learning (69) unbiased estimator (39) extreme value theory (25)

Papers

Auditing Fairness under Unobserved Confounding AISTATS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 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
Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021
Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021
A Precise Performance Analysis of Support Vector Regression ICML 2021
Learning from Similarity-Confidence Data ICML 2021
Estimation of Spectral Risk Measures AAAI 2021
Progressive Identification of True Labels for Partial-Label Learning ICML 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019
On Binary Classification in Extreme Regions NIPS 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018
Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier JMLR 2018
Learning from Complementary Labels NIPS 2017
Structure-Blind Signal Recovery NIPS 2016
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions INTERSPEECH 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure NIPS 2016