← All authors Foster Provost New York University (from arXiv:2004.11532, 2020) · ORCID · OpenAlex
32 papers in scope · 32 published · 2 on the econ.EM arXiv · 5,125 citations · h-index 20 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Qi Wu Siyi Wang Yijun Li Yiyan Huang Cheuk Hang Leung Susan Athey Guido W. Imbens Xinkun Nie Alicia Curth Mihaela van der Schaar Stefan Wager Shumin Ma Zhiri Yuan Dongdong Wang Zhixiang Huang Benjamin Carterette Carlos Fernández-Loría Praveen Chandar Jesse Anderton Xing Yan Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 32)
Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
published 2025 · INFORMS Journal on Data Science
Who’s Watching TV?
published 2023 · Information Systems Research · 2 citations · first circulated 2016
with Jessica Clark, Jean-François Paiement, Jean Francois Paiement
Ethics and interventions: A commentary on how to “improve” prediction using behavior modification
published 2022 · International Journal of Forecasting · 1 citations
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
published 2022 · MIS Quarterly · 54 citations · first circulated 2020
published 2022 · Information Systems Research · 11 citations · first circulated 2020
Rejoinder to “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”
published 2022 · INFORMS Journal on Data Science · 52 citations · first circulated 2021
In memory of Tom Fawcett
published 2020 · Machine Learning · 2 citations
Node classification over bipartite graphs through projection
published 2020 · Machine Learning · 8 citations · first circulated 2015
Counterfactual Explanations for Data-Driven Decisions
published 2019 · Journal of the Association for Information Systems · 12 citations
with Carlos Fernández, Xintian Han
no link
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
published 2019 · Data Mining and Knowledge Discovery · 16 citations
with Jessica Clark
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science
published 2018 · Big Data · 9 citations
with Maxime C. Cohen, C. Daniel Guetta, Kevin Jiao
Wallenius Bayes
published 2018 · Machine Learning · 4 citations
Cost-Effective Quality Assurance in Crowd Labeling
published 2017 · Information Systems Research · 4 citations
with Jing Wang, Panagiotis G. Ipeirotis
Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design
published 2015 · Information Systems Research · 50 citations
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
published 2015 · Big Data · 22 citations
with B D'Alessandro, Rod Hook, Claudia Perlich
Machine learning for targeted display advertising: transfer learning in action
published 2013 · Machine Learning · 152 citations
with Claudia Perlich, B D'Alessandro, Troy Raeder, Ori Stitelman
Repeated labeling using multiple noisy labelers
published 2013 · Data Mining and Knowledge Discovery · 190 citations · first circulated 2012
with Panagiotis G. Ipeirotis, Victor S. Sheng, Jing Wang
Research Commentary —Information in Digital, Economic, and Social Networks
published 2013 · Information Systems Research · 117 citations · first circulated 2012
Classification in Networked Data: A Toolkit and a Univariate Case Study
published 2007 · Journal of Machine Learning Research · 450 citations · first circulated 2004
with Sofus A. Macskassy
Decision-Centric Active Learning of Binary-Outcome Models
published 2007 · Information Systems Research · 65 citations
with Maytal Saar-Tsechansky
Distribution-based aggregation for relational learning with identifier attributes
published 2006 · Machine Learning · 95 citations · first circulated 2005
with Claudia Perlich
Active Sampling for Class Probability Estimation and Ranking
published 2004 · Machine Learning · 192 citations
with Maytal Saar-Tsechansky
Tree Induction for Probability-Based Ranking
published 2003 · Machine Learning · 533 citations
with Pedro Domingos
Robust Classification for Imprecise Environments
published 2001 · Machine Learning · 1207 citations · first circulated 2000
with Tom Fawcett
Applications of Data Mining to Electronic Commerce
published 2001 · Data Mining and Knowledge Discovery · 116 citations · first circulated 2000
with Ron Kohavi
Discovering Interesting Patterns for Investment Decision Making with GLOWER ☹—A Genetic Learner Overlaid with Entropy Reduction
published 2000 · Data Mining and Knowledge Discovery · 86 citations
with Vasant Dhar, Dashin Chou
A Survey of Methods for Scaling Up Inductive Algorithms
published 1999 · Data Mining and Knowledge Discovery · 278 citations
with Venkateswarlu Kolluri
Guest Editors' Introduction: On Applied Research in Machine Learning
published 1998 · Machine Learning · 378 citations
with Ron Kohavi
Adaptive Fraud Detection
published 1997 · Data Mining and Knowledge Discovery · 874 citations
with Tom Fawcett
Scaling Up Inductive Learning with Massive Parallelism
published 1996 · Machine Learning · 54 citations
with John M. Aronis
Inductive policy: The pragmatics of bias selection
published 1995 · Machine Learning · 88 citations
with Bruce G. Buchanan
Measuring overlap of data bases in water supply and sanitation using sampling and the binomial probability distribution
published 1992 · Scientometrics · 3 citations
with Paul Nieuwenhuysen
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