Pengyuan Wang

Orcid: 0000-0001-8689-3011

Affiliations:
  • University of Georgia, Terry College of Business, Athens, GA, USA
  • Yahoo Labs, Sunnyvale, CA, USA (former)
  • University of Pennsylvania, Wharton School, Philadelphia, PA, USA (former, PhD 2012)


According to our database1, Pengyuan Wang authored at least 12 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Sparse Tensor Additive Regression.
J. Mach. Learn. Res., 2021

2019
Frontiers: Asymmetric Effects of Recreational Cannabis Legalization.
Mark. Sci., 2019

2018
Optimizing Whole-Page Presentation for Web Search.
ACM Trans. Web, 2018

2016
Distributed Flexible Nonlinear Tensor Factorization.
CoRR, 2016

Beyond Ranking: Optimizing Whole-Page Presentation.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Using TB-Sized Data to Understand Multi-Device Advertising.
Proceedings of the International Conference on Information Systems, 2016

2015
Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

What Size Should A Mobile Ad Be?
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
An efficient framework for online advertising effectiveness measurement and comparison.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014


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