Tengyuan Liang

University of Chicago - Booth School of Business

SCHOLARLY PAPERS

7

DOWNLOADS
Rank 26,413

SSRN RANKINGS

Top 26,413

in Total Papers Downloads

2,681

SSRN CITATIONS
Rank 49,366

SSRN RANKINGS

Top 49,366

in Total Papers Citations

7

CROSSREF CITATIONS

6

Scholarly Papers (7)

1.

Textual Factors: A Scalable, Interpretable, and Data-driven Approach to Analyzing Unstructured Information

Number of pages: 65 Posted: 04 Jan 2019 Last Revised: 04 Nov 2019
Lin William Cong, Tengyuan Liang and Xiao Zhang
Cornell University - Samuel Curtis Johnson Graduate School of Management, University of Chicago - Booth School of Business and University of Chicago - Booth School of Business
Downloads 1,867 (12,434)
Citation 9

Abstract:

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Big Data, Factor Models, Machine Learning, Text Analytics, Natural Language Processing,Topic Models, Alternative Data

2.

Analyzing Textual Information at Scale

Number of pages: 34 Posted: 17 Sep 2019 Last Revised: 09 Dec 2019
Cornell University - Samuel Curtis Johnson Graduate School of Management, University of Chicago - Booth School of Business, Georgia State University - Robinson College of Business and University of Chicago - Booth School of Business
Downloads 715 (50,243)
Citation 3

Abstract:

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Big Data, Machine Learning, Text-based Analysis, Topic Models, Unstructured Data, Word Embedding

3.

Universal Prediction Band Via Semi-Definite Programming

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2021-41
Number of pages: 16 Posted: 08 Apr 2021
Tengyuan Liang
University of Chicago - Booth School of Business
Downloads 37 (581,797)

Abstract:

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Uncertainty quantification, variance interpolation, nonparametric prediction band, semi-definite programming, sum-of-squares.

4.

A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-L1-Norm Interpolated Classifiers

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2020-152
Number of pages: 50 Posted: 19 Oct 2020
Tengyuan Liang and Pragya Sur
University of Chicago - Booth School of Business and affiliation not provided to SSRN
Downloads 23 (670,142)
Citation 2

Abstract:

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5.

Estimating Certain Integral Probability Metrics (IPMs) Is as Hard as Estimating under the IPMs

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2020-153
Number of pages: 16 Posted: 20 Oct 2020
Tengyuan Liang
University of Chicago - Booth School of Business
Downloads 19 (700,434)

Abstract:

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6.

How Well Generative Adversarial Networks Learn Distributions

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2020-154
Number of pages: 32 Posted: 19 Oct 2020
Tengyuan Liang
University of Chicago - Booth School of Business
Downloads 11 (768,449)
Citation 1

Abstract:

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Generative Adversarial Networks, Implicit Distribution Estimation, Simulated Method of Moments, Oracle Inequality, Neural Network Learning, Minimax Problem, Pair Regularization

7.

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

University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2020-151
Number of pages: 42 Posted: 19 Oct 2020
Tengyuan Liang and Hai Tran-Bach
University of Chicago - Booth School of Business and University of Chicago
Downloads 9 (786,885)

Abstract:

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