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Risk Management

1053 directly classified papers

Papers per year

Papers

SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021
Can NLI Models Verify QA Systems’ Predictions? EMNLP 2021
Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges ACL 2021
Coupon Design in Advertising Systems AAAI 2021
Efficient Certification of Spatial Robustness AAAI 2021
Sample-Specific Output Constraints for Neural Networks AAAI 2021
Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021
Feature Clustering for Support Identification in Extreme Regions ICML 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes JMLR 2020
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-Morbidity IJCAI 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020
Arabic Curriculum Analysis COLING 2020
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020 COLING 2020
Using Small Business Banking Data for Explainable Credit Risk Scoring AAAI 2020
Faking Fairness via Stealthily Biased Sampling AAAI 2020
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations ICML 2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints ICML 2020
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer ICML 2020