← Application Areas
Machine Learning › Application Areas ›

Risk Management

1053 directly classified papers

Papers per year

Papers

Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
Robust learning under clean-label attack COLT 2021
The Sample Complexity of Robust Covariance Testing COLT 2021
Versatile Verification of Tree Ensembles ICML 2021
Blind Pareto Fairness and Subgroup Robustness ICML 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021
Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021
Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies ACL 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models ICML 2021
Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021
Robust Online Convex Optimization in the Presence of Outliers COLT 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild NIPS 2021
Reliable Decisions with Threshold Calibration NIPS 2021
Machine Learning for Variance Reduction in Online Experiments NIPS 2021
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NIPS 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification NIPS 2021
Towards optimally abstaining from prediction with OOD test examples NIPS 2021
Boosted CVaR Classification NIPS 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures NIPS 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions NIPS 2021
Bandit Quickest Changepoint Detection NIPS 2021
Can multi-label classification networks know what they don’t know? NIPS 2021
Risk-Averse Zero-Order Trajectory Optimization CORL 2021
Value-at-Risk Optimization with Gaussian Processes ICML 2021
Validation Free and Replication Robust Volume-based Data Valuation NIPS 2021