Risk Management

Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024 Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction RSS 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024 Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024 Risk-Sensitive Online Algorithms (Extended Abstract) COLT 2024 RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment IJCAI 2024 RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024 Safe Collaborative Filtering ICLR 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024 Safety through feedback in Constrained RL NeurIPS 2024 Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction COLING 2024 Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement ICLR 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NeurIPS 2024 SLaCAD: A Spoken Language Corpus for Early Alzheimer’s Disease Detection COLING 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 TAAL: Target-Aware Active Learning COLING 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 The Risks of Recourse in Binary Classification AISTATS 2024 Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024 Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation ICLR 2024