Risk Management

Learning Confidence for Transformer-based Neural Machine Translation ACL 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NeurIPS 2022 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NeurIPS 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021 Two steps to risk sensitivity NeurIPS 2021 Bayesian Robust Optimization for Imitation Learning NeurIPS 2020 Class-Weighted Classification: Trade-offs and Robust Approaches ICML 2020 Collision Probabilities for Continuous-Time Systems Without Sampling RSS 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Sybil-proof Answer Querying Mechanism IJCAI 2020 Artificial Counselor System for Stock Investment AAAI 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts NAACL 2019 SAFE: A Neural Survival Analysis Model for Fraud Early Detection AAAI 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Suicide Risk Assessment with Multi-level Dual-Context Language and BERT NAACL 2019 Worst Cases Policy Gradients CoRL 2019 Evolving AI from Research to Real Life – Some Challenges and Suggestions IJCAI 2018 Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning NeurIPS 2018 Prediction Models for Risk of Type-2 Diabetes Using Health Claims ACL 2018 Policy Gradient for Coherent Risk Measures NeurIPS 2015 Robust Portfolio Optimization NeurIPS 2015 Algorithms for CVaR Optimization in MDPs NeurIPS 2014