Risk Management

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 Predicting Long-Term Allograft Survival in Liver Transplant Recipients MLHC 2024 Pricing and Competition for Generative AI NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Proximal Causal Inference for Synthetic Control with Surrogates AISTATS 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading EMNLP 2024 Spatial-Temporal Augmentation for Crime Prediction (Student Abstract) AAAI 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023 AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NeurIPS 2023 Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction IJCAI 2023 ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023