risk management

106 papers

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Co-occurring keywords

portfolio optimization (40) reinforcement learning (4122) large language model (12755) multi-agent system (1743) stochastic process (388) multi-armed bandit (1091) online learning (1770) multimodal learning (4622) fraud detection (77) distributionally robust optimization (183)

Papers

Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation COLING 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model EACL 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making NIPS 2024

OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NIPS 2024

Monoculture in Matching Markets NIPS 2024

Safe Exploitative Play with Untrusted Type Beliefs NIPS 2024

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024

Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024

Safe Multi-View Deep Classification AAAI 2023

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023

Flexible risk design using bi-directional dispersion AISTATS 2023

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network IJCAI 2023

Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract) IJCAI 2023

Rethinking Safe Control in the Presence of Self-Seeking Humans AAAI 2023

Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments WACV 2023

Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023

Balanced Off-Policy Evaluation for Personalized Pricing AISTATS 2023

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce EMNLP 2023

Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NIPS 2023

Distribution-Free Statistical Dispersion Control for Societal Applications NIPS 2023

Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection AAAI 2022

Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NIPS 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NIPS 2022

Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022