Risk Management

Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021 Machine Learning for Variance Reduction in Online Experiments NeurIPS 2021 Mandoline: Model Evaluation under Distribution Shift ICML 2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021 Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021 Modeling Risky Choices in Unknown Environments ACML 2021 Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection AAAI 2021 Model updating after interventions paradoxically introduces bias AISTATS 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines ACL 2021 Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021 No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks ICLR 2021 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021 Online Risk-Averse Submodular Maximization IJCAI 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild NeurIPS 2021 Optimal Best-Arm Identification Methods for Tail-Risk Measures NeurIPS 2021 Optimizing Conditional Value-At-Risk of Black-Box Functions NeurIPS 2021 Optimizing Percentile Criterion using Robust MDPs AISTATS 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media EACL 2021 Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021 Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021 Predicting Mining Industry Accidents with a Multitask Learning Approach AAAI 2021