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Yao Zhang
Yao Zhang
Verified email at cam.ac.uk
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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), 1-6, 2020
1562020
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
592019
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
492020
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
462018
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
322020
Geometry of energy landscapes and the optimizability of deep neural networks
S Becker, Y Zhang, AA Lee
Physical Review Letters, 2018
262018
CASTLE: Regularization via Auxiliary Causal Graph Discovery
T Kyono*, Y Zhang*, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
162020
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
102020
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
102020
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
62020
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
42021
Multiple conditional randomization tests
Y Zhang, Q Zhao
arXiv preprint arXiv:2104.10618, 2021
32021
What is a randomization test?
Y Zhang, Q Zhao
arXiv preprint arXiv:2203.10980, 2022
22022
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
22021
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
22021
Gradient Regularized V-Learning for Dynamic Treatment Regimes
Y Zhang, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
12020
Topics in conditional causal inference
Y Zhang
University of Cambridge, 2022
2022
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