Risk Management

Estimation and Optimization of Composite Outcomes JMLR 2021 Estimation of Spectral Risk Measures AAAI 2021 ExGAN: Adversarial Generation of Extreme Samples AAAI 2021 Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Fairness in Influence Maximization through Randomization AAAI 2021 Feature Clustering for Support Identification in Extreme Regions ICML 2021 Ground-Truth or DAER: Selective Re-Query of Secondary Information ICCV 2021 Group testing for connected communities AISTATS 2021 Hierarchical Coherence Modeling for Document Quality Assessment AAAI 2021 HIVE: Hierarchical Information Visualization for Explainability IJCAI 2021 How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021 IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution AAAI 2021 Identifying and Benchmarking Natural Out-of-Context Prediction Problems NeurIPS 2021 Identifying Hijacked Reviews ACL 2021 Identifying regions of trusted predictions UAI 2021 IFDDS: An Anti-fraud Outbound Robot AAAI 2021 Influence Estimation for Generative Adversarial Networks ICLR 2021 Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges ACL 2021 Learning Models for Suicide Prediction from Social Media Posts NAACL 2021 Learning Prediction Intervals for Model Performance AAAI 2021 Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis ICML 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning with risk-averse feedback under potentially heavy tails AISTATS 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021