Anytime-valid off-policy inference for contextual bandits I Waudby-Smith, L Wu, A Ramdas, N Karampatziakis, P Mineiro ACM/JMS Journal of Data Science, 2022 | 36* | 2022 |
Transfer learning of individualized treatment rules from experimental to real-world data L Wu, S Yang Journal of Computational and Graphical Statistics 32 (3), 1036-1045, 2023 | 20 | 2023 |
Integrative -learner of heterogeneous treatment effects combining experimental and observational studies L Wu, S Yang Conference on Causal Learning and Reasoning, 904-926, 2022 | 20 | 2022 |
Enhancing treatment effect estimation: A model robust approach integrating randomized experiments and external controls using the double penalty integration estimator Y Cheng, L Wu, S Yang Uncertainty in Artificial Intelligence, 381-390, 2023 | 5 | 2023 |
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs L Wu, B Evans, R Islam, R Seraj, Y Efroni, A Lamb arXiv preprint arXiv:2404.14552, 2024 | 2* | 2024 |
PcLast: Discovering Plannable Continuous Latent States A Koul, S Sujit, S Chen, B Evans, L Wu, B Xu, R Chari, R Islam, R Seraj, ... arXiv preprint arXiv:2311.03534, 2023 | 2 | 2023 |
Estimating spatially varying health effects in app-based citizen science research L Wu, S Yang, BJ Reich, AG Rappold arXiv preprint arXiv:2005.12017, 2020 | 1 | 2020 |
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics Y Song, L Wu, DJ Foster, A Krishnamurthy arXiv preprint arXiv:2405.19269, 2024 | | 2024 |
Spatially Varying and Multi-Source Data Integrative Causal Inference L Wu North Carolina State University, 2021 | | 2021 |
Parameterized Exploration J Clifton, L Wu, E Laber arXiv preprint arXiv:1907.06090, 2019 | | 2019 |
Multivariate Density Estimation with Missing Data Z Li, L Wu, W Zhou, S Ghosh arXiv preprint arXiv:1808.04780, 2018 | | 2018 |