Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning Y Zhang, Q Tang, Y Zhang, J Wang, U Stimming, AA Lee Nature communications 11 (1), 1706, 2020 | 475 | 2020 |
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain J Yoon, Y Zhang, J Jordon, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 191 | 2020 |
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning Y Zhang, AA Lee Chemical Science 10 (35), 8154-8163, 2019 | 122 | 2019 |
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects Y Zhang, A Bellot, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 94 | 2020 |
Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning Y Zhang, AM Saxe, MS Advani, AA Lee Molecular Physics 116 (21-22), 3214-3223, 2018 | 71 | 2018 |
CASTLE: Regularization via Auxiliary Causal Graph Discovery T Kyono*, Y Zhang*, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 62 | 2020 |
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms T Kyono*, Y Zhang*, A Bellot, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2021 | 39 | 2021 |
Geometry of energy landscapes and the optimizability of deep neural networks S Becker, Y Zhang, AA Lee Physical Review Letters, 2018 | 30 | 2018 |
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2021 | 24 | 2021 |
Learning outside the Black-Box: The pursuit of interpretable models J Crabbe, Y Zhang, W Zame, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 24 | 2020 |
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification HS Lee*, Y Zhang*, W Zame, C Shen, JW Lee, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 18 | 2020 |
What is a randomization test? Y Zhang, Q Zhao Journal of the American Statistical Association 118 (544), 2928-2942, 2023 | 15 | 2023 |
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Y Zhang, D Jarrett, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 11 | 2020 |
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Y Zhang*, J Berrevoets*, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 | 7 | 2021 |
Multiple conditional randomization tests for lagged and spillover treatment effects Y Zhang, Q Zhao arXiv preprint arXiv:2104.10618, 2023 | 4* | 2023 |
Gradient Regularized V-Learning for Dynamic Treatment Regimes Y Zhang, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 3 | 2020 |
Sharp bounds and semiparametric inference in -and -sensitivity analysis for observational studies Y Zhang, Q Zhao arXiv preprint arXiv:2211.04697, 2024 | | 2024 |