| Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets | Feb 26, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Design of intentional backdoors in sequential models | Feb 26, 2019 | Decision MakingReinforcement Learning | —Unverified | 0 |
| Scalable Thompson Sampling via Optimal Transport | Feb 19, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Adaptive Sequence Submodularity | Feb 15, 2019 | Decision MakingLink Prediction | CodeCode Available | 0 |
| Network Offloading Policies for Cloud Robotics: a Learning-based Approach | Feb 15, 2019 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach | Feb 8, 2019 | Decision Makingreinforcement-learning | —Unverified | 0 |
| Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning | Feb 5, 2019 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 0 |
| Hyper-parameter Tuning under a Budget Constraint | Feb 1, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching | Jan 24, 2019 | Decision MakingEfficient Exploration | —Unverified | 0 |
| Algorithms for Fairness in Sequential Decision Making | Jan 24, 2019 | Decision MakingFairness | CodeCode Available | 0 |
