Risk Management

Predictive Analytics for COVID-19 Social Distancing IJCAI 2021 Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates ACL 2021 Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021 Regulating algorithmic filtering on social media NeurIPS 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reliable Decisions with Threshold Calibration NeurIPS 2021 Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Revealing and Protecting Labels in Distributed Training NeurIPS 2021 Revisiting the Calibration of Modern Neural Networks NeurIPS 2021 Risk-averse Heteroscedastic Bayesian Optimization NeurIPS 2021 Risk-Averse Zero-Order Trajectory Optimization CoRL 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 Risk score learning for COVID-19 contact tracing apps MLHC 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021 RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NeurIPS 2021 Robust Auction Design in the Auto-bidding World NeurIPS 2021 Robust learning under clean-label attack COLT 2021 Robustness and scalability under heavy tails, without strong convexity AISTATS 2021 Robust Online Convex Optimization in the Presence of Outliers COLT 2021 ROI Maximization in Stochastic Online Decision-Making NeurIPS 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021 Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China AAAI 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups AISTATS 2021