Risk Management

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NeurIPS 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024 Localized Adaptive Risk Control NeurIPS 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models EMNLP 2024 Maximizing the Success Probability of Policy Allocations in Online Systems AAAI 2024 Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024 Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ICLR 2024 Modeling and Detecting Company Risks from News NAACL 2024 Modeling News Interactions and Influence for Financial Market Prediction EMNLP 2024 Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction IJCAI 2024 Model Predictive Control for Aggressive Driving Over Uneven Terrain RSS 2024 Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024 Motif-oriented influence maximization for viral marketing in large-scale social networks NeurIPS 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry AISTATS 2024 On Leakage of Code Generation Evaluation Datasets EMNLP 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024