 Probabilistic Inference in Reinforcement Learning Done RightNeural Information Processing Systems (NeurIPS), 2023 |
 Using AI Uncertainty Quantification to Improve Human Decision-MakingInternational Conference on Machine Learning (ICML), 2023 |
 Likelihood-ratio-based confidence intervals for neural networksMachine-mediated learning (ML), 2023 |
 Efficient Exploration via Epistemic-Risk-Seeking Policy OptimizationInternational Conference on Machine Learning (ICML), 2023 |
 Leveraging Demonstrations to Improve Online Learning: Quality MattersInternational Conference on Machine Learning (ICML), 2023 |
 Bayesian posterior approximation with stochastic ensemblesComputer Vision and Pattern Recognition (CVPR), 2022 |
 Epistemic Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 |
 Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision
MakingJournal of the American Statistical Association (JASA), 2020 |
