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Yao Zhang
Yao Zhang
Department of Statistics, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu
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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
4852020
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
1962020
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
1232019
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
942020
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
712018
CASTLE: Regularization via Auxiliary Causal Graph Discovery
T Kyono*, Y Zhang*, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
642020
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
402021
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
252020
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
What is a randomization test?
Y Zhang, Q Zhao
Journal of the American Statistical Association 118 (544), 2928-2942, 2023
162023
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
Bounds and semiparametric inference in l∞ and l2-sensitivity analysis for observational studies
Y Zhang, Q Zhao
arXiv preprint arXiv:2211.04697, 2022
82022
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
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