Risk Management

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems ICML 2023 A Generalizable Physics-informed Learning Framework for Risk Probability Estimation L4DC 2023 AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NeurIPS 2023 A Model-Agnostic Heuristics for Selective Classification AAAI 2023 A Model-Based Method for Minimizing CVaR and Beyond ICML 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments IJCAI 2023 A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty RSS 2023 Automated Classification of Model Errors on ImageNet NeurIPS 2023 Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations ACL 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Balanced Off-Policy Evaluation for Personalized Pricing AISTATS 2023 Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NeurIPS 2023 Batch Multivalid Conformal Prediction ICLR 2023 Beyond mAP: Towards Better Evaluation of Instance Segmentation CVPR 2023 Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 2023 Blending Advertising with Organic Content in E-commerce via Virtual Bids AAAI 2023 Bounding training data reconstruction in DP-SGD NeurIPS 2023 Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems ICLR 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Conformalization of Sparse Generalized Linear Models ICML 2023 Conformal Risk Control for Ordinal Classification UAI 2023 Constrained Market Share Maximization by Signal-Guided Optimization AAAI 2023 Constraining Representations Yields Models That Know What They Don't Know ICLR 2023