Yuhao Wang
Assistant professor
Works on causal inference, experimental design, high-dimensional statistics, and econometrics.
Yuhao Wang's lab at Tsinghua works on learning theory & optimization, probabilistic & causal inference and efficient training & inference. 6 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 1 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- Probabilistic & causal inference1 paper
- Efficient training & inference1 paper
- econometrics0 papers
- experimental design0 papers
Paper list
From the lab homepage.
20261 paper
- Electronic Journal of Statistics 20.2 : 3770-3806Minimax estimation of functionals in sparse vector model with correlated observations (opens in a new tab)
20254 papers
- Journal of Econometrics 251 : 106049Asymptotic theory of the best-choice rerandomization using the Mahalanobis distance (opens in a new tab)
- The Annals of Statistics 53.4 : 1535-1558Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates (opens in a new tab)
- Journal of the Royal Statistical Society, Series B 87.2 : 362-388Long-term causal inference under persistent confounding via data combination (opens in a new tab)
- The Annals of Statistics 53.2 : 724-748Residual permutation test for regression coefficient testing (opens in a new tab)
20241 paper
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Your notes
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
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