دنبال کردن
Yuhao Wang | 王禹皓
Yuhao Wang | 王禹皓
Institute for Interdisciplinary Information Sciences, Tsinghua University
ایمیل تأیید شده در tsinghua.edu.cn - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Predicting drug-target interactions using restricted Boltzmann machines‏
Y Wang, J Zeng‏
Bioinformatics 29 (13), i126-i134, 2013‏
2472013
Permutation-based causal inference algorithms with interventions‏
Y Wang, L Solus, K Yang, C Uhler‏
Advances in Neural Information Processing Systems 30, 2017‏
1472017
Consistency guarantees for greedy permutation-based causal inference algorithms‏
L Solus, Y Wang, C Uhler‏
Biometrika 108 (4), 795-814, 2021‏
1252021
Permutation-based causal structure learning with unknown intervention targets‏
C Squires, Y Wang, C Uhler‏
Conference on Uncertainty in Artificial Intelligence, 1039-1048, 2020‏
962020
RCK: accurate and efficient inference of sequence-and structure-based protein–RNA binding models from RNAcompete data‏
Y Orenstein, Y Wang, B Berger‏
Bioinformatics 32 (12), i351-i359, 2016‏
812016
Long-term causal inference under persistent confounding via data combination‏
G Imbens, N Kallus, X Mao, Y Wang‏
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024‏
422024
Direct estimation of differences in causal graphs‏
Y Wang, C Squires, A Belyaeva, C Uhler‏
Advances in neural information processing systems 31, 2018‏
422018
Joint inference of multiple graphs from matrix polynomials‏
M Navarro, Y Wang, AG Marques, C Uhler, S Segarra‏
Journal of machine learning research 23 (76), 1-35, 2022‏
352022
High-dimensional joint estimation of multiple directed Gaussian graphical models‏
Y Wang, S Segarra, C Uhler‏
Electronic Journal of Statistics 14 (1), 2439-2483, 2020‏
312020
Minimax rate of testing in sparse linear regression‏
A Carpentier, O Collier, L Comminges, AB Tsybakov, Y Wang‏
Automation and Remote Control 80, 1817-1834, 2019‏
292019
Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters‏
Y Wang, U Roy, C Uhler‏
International Conference on Artificial Intelligence and Statistics, 2698-2708, 2020‏
272020
Joint inference of networks from stationary graph signals‏
S Segarra, Y Wang, C Uhler, AG Marques‏
2017 51st Asilomar Conference on Signals, Systems, and Computers, 975-979, 2017‏
242017
Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders‏
Y Wang, RD Shah‏
The Annals of Statistics 52 (5), 1978-2003, 2024‏
21*2024
Rerandomization with diminishing covariate imbalance and diverging number of covariates‏
Y Wang, X Li‏
The Annals of Statistics 50 (6), 3439-3465, 2022‏
212022
De novo ChIP-seq analysis‏
X He, AE Cicek, Y Wang, MH Schulz, HS Le, Z Bar-Joseph‏
Genome biology 16, 1-10, 2015‏
182015
Anchored Causal Inference in the Presence of Measurement Error‏
B Saeed, A Belyaeva, Y Wang, C Uhler‏
Conference on Uncertainty in Artificial Intelligence, 619-628, 2020‏
152020
Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance‏
A Carpentier, O Collier, L Comminges, AB Tsybakov, Y Wang‏
Bernoulli 28 (4), 2744-2787, 2022‏
82022
Residual permutation test for regression coefficient testing‏
K Wen, T Wang, Y Wang‏
arXiv e-prints, arXiv: 2211.16182, 2022‏
7*2022
Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates‏
X Lu, F Yang, Y Wang‏
arXiv preprint arXiv:2309.02073, 2023‏
62023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity‏
L Liu, X Wang, Y Wang‏
arXiv preprint arXiv:2305.04174, 2023‏
32023
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مقاله‌ها 1–20