Risk Management

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs ICLR 2024 Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery AAAI 2024 Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios ACL 2024 Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency IJCAI 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation ACL 2024 Uncertainty quantification and robustification of model-based controllers using conformal prediction L4DC 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques Interspeech 2024 Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets IJCAI 2024 Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning NeurIPS 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024 Where Am I From? Identifying Origin of LLM-generated Content EMNLP 2024 Where The Wild Things Are: Brute-Force SSH Attacks In The Wild And How To Stop Them NSDI 2024 “You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024 A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification ICLR 2023 A Close Look into the Calibration of Pre-trained Language Models ACL 2023 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees JMLR 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions ICML 2023 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023 Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 Adversarially Robust Distributed Count Tracking via Partial Differential Privacy NeurIPS 2023