| Random Forests for dependent data | Jul 30, 2020 | Decision MakingGaussian Processes | CodeCode Available | 1 |
| Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs | Jul 24, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 |
| Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies | Jul 24, 2020 | Decision MakingReinforcement Learning (RL) | CodeCode Available | 1 |
| Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis | Jul 21, 2020 | Decision Making | CodeCode Available | 1 |
| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 |
| Fairwashing Explanations with Off-Manifold Detergent | Jul 20, 2020 | Decision Making | CodeCode Available | 1 |
| Learning High-Level Policies for Model Predictive Control | Jul 20, 2020 | Decision Makingmodel | CodeCode Available | 1 |
| Bayesian Optimization of Risk Measures | Jul 10, 2020 | Bayesian OptimizationDecision Making | CodeCode Available | 1 |
| Bidirectional Model-based Policy Optimization | Jul 4, 2020 | Decision Makingmodel | CodeCode Available | 1 |
| Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading | Jul 1, 2020 | Decision MakingReading Comprehension | CodeCode Available | 1 |
