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Risk Management

24 directly classified papers

Papers per year

Papers

FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025
Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025
Active, anytime-valid risk controlling prediction sets NIPS 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NIPS 2024
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NIPS 2023
A Risk-Sensitive Approach to Policy Optimization AAAI 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
Efficient Risk-Averse Reinforcement Learning NIPS 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NIPS 2022
Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021
Conservative Offline Distributional Reinforcement Learning NIPS 2021
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NIPS 2021
Boosted CVaR Classification NIPS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NIPS 2021
Constrained Risk-Averse Markov Decision Processes AAAI 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021
Learning Bounds for Risk-sensitive Learning NIPS 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020
Worst Cases Policy Gradients CORL 2019
Algorithms for CVaR Optimization in MDPs NIPS 2014