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Tengyuan Liang

University of Chicago

44 papers hereh-index 232.5k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author9
  • first author13
  • middle author14
  • last author8

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • math.ST15
  • stat.ML12
  • cs.LG7
  • stat.ME5
  • econ.EM4
  • math.NA1
affiliations
  • University of Chicago

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedDeep Neural Networks for Estimation and Inference

332 citations · 962 across the 43 of their papers we have counts for

collaborators
Showing econ.EMShow all

4 papers · 1 filter

econ.EM2026

Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness

Tengyuan Liang

Treatment effect distributions are not identified without restrictions on the joint distribution of potential outcomes. Existing approaches either impose rank preservation -- a str…

econ.EM2024

A Convexified Matching Approach to Imputation and Individualized Inference

YoonHaeng Hur, Tengyuan Liang

We introduce a new convexified matching method for missing value imputation and individualized inference inspired by computational optimal transport. Our method integrates favorabl…

econ.EM2020★ 7 cited

Deep Learning for Individual Heterogeneity

Max H. Farrell, Tengyuan Liang, Sanjog Misra

This paper integrates deep neural networks (DNNs) into structural models to increase flexibility and capture rich heterogeneity while preserving interpretability. Economic (or scie…

econ.EM2018★ 332 cited

Deep Neural Networks for Estimation and Inference

Max H. Farrell, Tengyuan Liang, Sanjog Misra

We study deep neural networks and their use in semiparametric inference. We establish novel rates of convergence for deep feedforward neural nets. Our new rates are sufficiently fa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.