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Yao Zhang
Yao Zhang
Department of Statistics, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
4542020
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
1792020
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
1202019
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
922020
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
702018
CASTLE: Regularization via Auxiliary Causal Graph Discovery
T Kyono*, Y Zhang*, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
612020
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
362021
Geometry of energy landscapes and the optimizability of deep neural networks
S Becker, Y Zhang, AA Lee
Physical Review Letters, 2018
302018
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
242020
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
232021
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
182020
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
112020
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
72021
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
32020
-and -sensitivity analysis for causal inference with unmeasured confounding
Y Zhang, Q Zhao
arXiv preprint arXiv:2211.04697, 2024
2024
Topics in conditional causal inference
Y Zhang
2022
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Articles 1–17