Risk Management

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data (Student Abstract) AAAI 2025 Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025 Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs IJCAI 2025 Two-stage Risk Control with Application to Ranked Retrieval IJCAI 2025 Uncertainty modeling for fine-tuned implicit functions ICLR 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025 Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025 Usage Governance Advisor: From Intent to AI Governance AAAI 2025 Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification ICLR 2025 VideoPhy: Evaluating Physical Commonsense for Video Generation ICLR 2025 VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models CVPR 2025 When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits ACL 2025 When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs ACL 2025 When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Adaptive Discretization for Event PredicTion (ADEPT) AISTATS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health NeurIPS 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024