| Ensemble sampling X Lu, B Van Roy Advances in Neural Information Processing Systems 31, 2017 | 146 | 2017 |
| Epistemic neural networks I Osband, Z Wen, SM Asghari, V Dwaracherla, M Ibrahimi, X Lu, ... Advances in Neural Information Processing Systems 37, 2023 | 86 | 2023 |
| Reinforcement learning, bit by bit X Lu, B Van Roy, V Dwaracherla, M Ibrahimi, I Osband, Z Wen Foundations and Trends® in Machine Learning 16 (6), 733-865, 2023 | 68 | 2023 |
| Information-theoretic confidence bounds for reinforcement learning X Lu, B Van Roy Advances in Neural Information Processing Systems 33, 2019 | 57 | 2019 |
| Hypermodels for exploration V Dwaracherla, X Lu, M Ibrahimi, I Osband, Z Wen, B Van Roy International Conference on Learning Representations, 2020 | 44 | 2020 |
| Efficient online recommendation via low-rank ensemble sampling X Lu, Z Wen, B Kveton Proceedings of the 12th ACM Conference on Recommender Systems, 460-464, 2018 | 21 | 2018 |
| An analysis of ensemble sampling C Qin, Z Wen, X Lu, B Van Roy Advances in Neural Information Processing Systems 36, 2022 | 18 | 2022 |
| The neural testbed: Evaluating joint predictions I Osband, Z Wen, SM Asghari, V Dwaracherla, X Lu, M Ibrahimi, ... Advances in Neural Information Processing Systems 36, 12554-12565, 2022 | 16 | 2022 |
| Approximate Thompson Sampling via Epistemic Neural Networks I Osband, Z Wen, SM Asghari, V Dwaracherla, M Ibrahimi, X Lu, ... Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence, 2023 | 13 | 2023 |
| Ensembles for uncertainty estimation: Benefits of prior functions and bootstrapping V Dwaracherla, Z Wen, I Osband, X Lu, SM Asghari, B Van Roy Transactions on Machine Learning Research, 2023 | 12 | 2023 |
| From predictions to decisions: The importance of joint predictive distributions Z Wen, I Osband, C Qin, X Lu, M Ibrahimi, V Dwaracherla, M Asghari, ... arXiv preprint arXiv:2107.09224, 2021 | 11 | 2021 |
| Evaluating High-Order Predictive Distributions in Deep Learning I Osband, Z Wen, SM Asghari, V Dwaracherla, X Lu, B Van Roy Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, 2022 | 7 | 2022 |
| Information-directed sampling for reinforcement learning X Lu Stanford University, 2020 | 4 | 2020 |
| Exploration using hyper-models B Van Roy, X Lu, VR Dwaracherla, Z Wen, M Ibrahimi, IDM Osband US Patent App. 17/639,504, 2022 | 1 | 2022 |
| Robustness of epinets against distributional shifts X Lu, I Osband, SM Asghari, S Gowal, V Dwaracherla, Z Wen, B Van Roy arXiv preprint arXiv:2207.00137, 2022 | 1 | 2022 |
| RLHF and IIA: Perverse Incentives W Xu, S Dong, X Lu, G Lam, Z Wen, B Van Roy arXiv e-prints, arXiv: 2312.01057, 2023 | | 2023 |
