Tengyuan Liang

activity

20162026

most citedEstimating Certain Integral Probability Metric (IPM) is as Hard as Estimating under the IPM

11 citations · 23 across the 18 of their papers we have counts for

collaborators

Showing 2020Show all

3 papers · 1 filter

econ.EM2020

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…

stat.ML2020

Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks

Tengyuan Liang, Hai Tran-Bach

We utilize a connection between compositional kernels and branching processes via Mehler's formula to study deep neural networks. This new probabilistic insight provides us a novel…

math.ST2020

A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $ℓ_{1}$ -Norm Interpolated Classifiers

Tengyuan Liang, Pragya Sur

This paper establishes a precise high-dimensional asymptotic theory for boosting on separable data, taking statistical and computational perspectives. We consider a high-dimensiona…

Deep Learning for Individual Heterogeneity

Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks

A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-ℓ1​-Norm Interpolated Classifiers

A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $ℓ_{1}$ -Norm Interpolated Classifiers