Risk Management

Contextual Constrained Learning for Dose-Finding Clinical Trials AISTATS 2020 Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming NeurIPS 2020 Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment AAAI 2020 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020 Data Valuation using Reinforcement Learning ICML 2020 Deep Smoothing of the Implied Volatility Surface NeurIPS 2020 DeSpin: a prototype system for detecting spin in biomedical publications ACL 2020 Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020 Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Effective Ways to Build and Evaluate Individual Survival Distributions JMLR 2020 Energy-based Out-of-distribution Detection NeurIPS 2020 Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model AAAI 2020 Estimation of Bounds on Potential Outcomes For Decision Making ICML 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Fairness Does Not Imply Satisfaction (Student Abstract) AAAI 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures RSS 2020 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NeurIPS 2020 Fiduciary Bandits ICML 2020 Financial Risk Prediction with Multi-Round Q&A Attention Network IJCAI 2020 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment EMNLP 2020 FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020