F. Provost

PROFILE

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Aliases
F. Provost, Foster John Provost, Foster Provost, Foster J. Provost
Publication record
224 papers · 23,564 citations · H-index 61

PAPERS

Prompt-Counterfactual Explanations for Generative AI System Behavior
20260 citationsauthor #2
Beware of "Explanations" of AI
20255 citationsauthor #17
Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
20253 citationsauthor #2
What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs
20251 citationsauthor #3
Naive Algorithmic Collusion: When Do Bandit Learners Cooperate and When Do They Compete?
20243 citationsauthor #2
Causal Post-Processing of Predictive Models
20241 citationsauthor #3
Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342)
20240 citationsauthor #2
The Impact of Cloaking Digital Footprints on User Privacy and Personalization
20231 citationsauthor #3
Rejoinder to “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”
20220 citationsauthor #2
Ethics and interventions: A commentary on how to “improve” prediction using behavior modification
20221 citationsauthor #1
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
20221 citationsauthor #2
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
202156 citationsauthor #2
Node classification over bipartite graphs through projection
20201 citationsauthor #4
Node classification over bipartite graphs through projection
20209 citationsauthor #4
In memory of Tom Fawcett
20201 citationsauthor #1
Data Science for the Real Estate Industry
20202 citationsauthor #3
Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation
20202 citationsauthor #2
Combining Observational and Experimental Data to Improve Large-Scale Decision-Making
20203 citationsauthor #2
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
202093 citationsauthor #2
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation
202020 citationsauthor #2
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
201996 citationsauthor #3
Counterfactual Explanations for Data-Driven Decisions
20199 citationsauthor #2
A benchmarking study of classification techniques for behavioral data
201919 citationsauthor #4
Deep Learning on Big, Sparse, Behavioral Data
201911 citationsauthor #4
Causal Classification: Treatment Effect vs. Outcome Prediction
201940 citationsauthor #2
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
201914 citationsauthor #2
An exploratory study towards applying and demystifying deep learning classification on behavioral big data
20183 citationsauthor #3
Societal Impact of Data Science and Artificial Intelligence
20181 citationsauthor #1
Data-Driven Investment Strategies for Peer-to-Peer Lending
20181 citationsauthor #4
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science
20189 citationsauthor #4
Wallenius Bayes
20188 citationsauthor #3
Attributing value in a data pooling setting for predictive modeling
20170 citationsauthor #3
Big Data, Data Science, and Civil Rights
201722 citationsauthor #4
What Managers Need to Know About Big Data
20171 citationsauthor #1
Cost-Effective Quality Assurance in Crowd Labeling
201745 citationsauthor #3
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions
2017162 citationsauthor #11
Explaining Classification Models Built on High-Dimensional Sparse Data
201616 citationsauthor #3
The Predictive Power of Massive Data about our Fine-Grained Behavior
20160 citationsauthor #1
Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics
2016123 citationsauthor #2
Matrix-Factorization-Based Dimensionality Reduction in the Predictive Modeling Process: A Design Science Perspective
20165 citationsauthor #2
Who's Watching TV?
20162 citationsauthor #3
Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals
201639 citationsauthor #4
The Phases of Columbus Study
20160 citationsauthor #1
Finding Mobile Consumers with a Privacy-Friendly Geo-Similarity Network *
20153 citationsauthor #1
Iteratively refining SVMs
20150 citationsauthor #3
Beat the Machine: Challenging Humans to Find a Predictive Model's “Unknown Unknowns”
2015110 citationsauthor #3
Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design
201548 citationsauthor #1
Dimensionality Reduction via Matrix Factorization for Predictive Modeling from Large, Sparse Behavioral Data
20154 citationsauthor #2
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
201549 citationsauthor #4
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising
201532 citationsauthor #5
A Data Scientist's Guide to Start-Ups
20141 citationsauthor #1
Authors' Response to Gong's, “Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making”
201422 citationsauthor #1
Explaining Data-Driven Document Classifications
2014316 citationsauthor #2
Scalable hands-free transfer learning for online advertising
201444 citationsauthor #6
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth
20143 citationsauthor #4
ACM SIGKDD 2014 to be Held August 24–27 in Manhattan
20140 citationsauthor #1
Corporate residence fraud detection
201435 citationsauthor #5
Wallenius Naive Bayes
20132 citationsauthor #3
Predictive Modeling With Big Data: Is Bigger Really Better?
2013177 citationsauthor #3
Research Commentary - Information in Digital, Economic, and Social Networks
2013107 citationsauthor #2
Quality-Based Pricing for Crowdsourced Workers
201349 citationsauthor #3
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads
20135 citationsauthor #3
Repeated labeling using multiple noisy labelers
2013202 citationsauthor #2
Using co-visitation networks for detecting large scale online display advertising exchange fraud
201326 citationsauthor #6
Panel: a data scientist's guide to making money from start-ups
20130 citationsauthor #1
Data Science and its Relationship to Big Data and Data-Driven Decision Making
20131,372 citationsauthor #1
Estimating Audience Interest Distribution Based on Audience Web Behavior
20130 citationsauthor #2
Machine learning for targeted display advertising: transfer learning in action
2013178 citationsauthor #5
Scalable supervised dimensionality reduction using clustering
20138 citationsauthor #5
Data science for business
2013293 citationsauthor #1
Privacy-sensitive methods, systems, and media for geo-social targeting
20120 citationsauthor #1
Causally motivated attribution for online advertising
2012110 citationsauthor #4
Bid optimizing and inventory scoring in targeted online advertising
2012182 citationsauthor #6
Design principles of massive, robust prediction systems
201240 citationsauthor #5
Information in Digital, Economic and Social Networks
201248 citationsauthor #2
Beat the Machine: Challenging Workers to Find the Unknown Unknowns
201187 citationsauthor #3
Pseudo-social network targeting from consumer transaction data
201133 citationsauthor #2
Selective Data Acquisition for Machine Learning Saar-Tsechansky
20115 citationsauthor #3
Geo-Social Targeting for Privacy-Friendly Mobile Advertising: Position Paper
20119 citationsauthor #1
Inactive learning?: difficulties employing active learning in practice
2011105 citationsauthor #2
Explaining Documents' Classifications
20118 citationsauthor #2
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance
201099 citationsauthor #2
Proceedings of the First Workshop on Social Media Analytics
201015 citationsauthor #3
Quality management on Amazon Mechanical Turk
20101,100 citationsauthor #2
Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance
201012 citationsauthor #3
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
201066 citationsauthor #3
Active Inference and Learning for Classifying Streams
20104 citationsauthor #2
Toward optimal allocation of human resources for active learning withapplication to safe advertising
20092 citationsauthor #2
Active Feature-Value Acquisition
2009135 citationsauthor #3
Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009
20090 citationsauthor #7
Brand advertising, on-line audiences, and social media: invited talk
20090 citationsauthor #1
Proceedings of the ACM SIGKDD Workshop on Human Computation
200924 citationsauthor #7
Audience selection for on-line brand advertising: privacy-friendly social network targeting
2009152 citationsauthor #1
Telecommunications Network Diagnosis
20087 citationsauthor #2
On-line Brand Advertising using Social Networks based on User-generated Content
20080 citationsauthor #1
Get another label? improving data quality and data mining using multiple, noisy labelers
20081,305 citationsauthor #2
Machine Learning from Imbalanced Data Sets 101
2008522 citationsauthor #1
Social Network Collaborative Filtering
200839 citationsauthor #3
Handling Missing Values when Applying Classification Models
2007380 citationsauthor #2
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
200726 citationsauthor #1

TIMELINE

1956 1 citations

1964 1 citations

1979 0 citations

1987 0 citations

1988 1 citations

1989 29 citations

1990 117 citations

1991 4 citations

1992 64 citations

1993 107 citations

1994 91 citations

1995 81 citations

1996 448 citations

1997 1,974 citations

1998 1,907 citations

1999 1,185 citations

2000 1,681 citations

2001 759 citations

2002 188 citations

2003 2,692 citations

2004 2,280 citations

2005 619 citations

2006 823 citations

2007 520 citations

2008 1,873 citations

2009 313 citations

2010 1,296 citations

2011 247 citations

2012 380 citations

2013 2,419 citations

2014 421 citations

2015 246 citations

2016 185 citations

2017 230 citations

2018 22 citations

2019 189 citations

2020 131 citations

2021 56 citations

2022 2 citations

2023 1 citations

2024 4 citations

2025 9 citations

2026 0 citations

Unknown 1 citations

F. Provost

PROFILE

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