Foster J. Provost
Affiliations:- New York University, USA
According to our database1,
Foster J. Provost
authored at least 113 papers
between 1990 and 2024.
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Bibliography
2024
CoRR, 2024
2023
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation.
Inf. Syst. Res., 2023
CoRR, 2023
2022
J. Mach. Learn. Res., 2022
2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters.
CoRR, 2021
2020
Int. J. Data Sci. Anal., 2020
Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation.
CoRR, 2020
CoRR, 2020
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C.
Adv. Data Anal. Classif., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Combining Observational and Experimental Data to Improve Large-Scale Decision-Making.
Proceedings of the 41st International Conference on Information Systems, 2020
2019
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data.
Data Min. Knowl. Discov., 2019
Proceedings of the 40th International Conference on Information Systems, 2019
2018
Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science.
Big Data, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals.
Big Data, 2017
2016
MIS Q., 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
2015
Beat the Machine: Challenging Humans to Find a Predictive Model's "Unknown Unknowns".
ACM J. Data Inf. Qual., 2015
Inf. Syst. Res., 2015
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies.
Big Data, 2015
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Mach. Learn., 2014
Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making".
Big Data, 2014
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth.
Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
2013
Inf. Syst. Res., 2013
Big Data, 2013
Using co-visitation networks for detecting large scale online display advertising exchange fraud.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2013
2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012
2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the Human Computation, 2011
2010
SIGKDD Explor., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the ACM SIGKDD Workshop on Human Computation, 2010
2009
Audience selection for on-line brand advertising: privacy-friendly social network targeting.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009
2008
Get another label? improving data quality and data mining using multiple, noisy labelers.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
J. Mach. Learn. Res., 2007
J. Mach. Learn. Res., 2007
Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007
Proceedings of the Mining and Learning with Graphs, 2007
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.
Proceedings of the 9th International Conference on Electronic Commerce: The Wireless World of Electronic Commerce, 2007
2006
Mach. Learn., 2006
A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006
2005
Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification.
IEEE Trans. Knowl. Data Eng., 2005
Proceedings of the Machine Learning, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
2004
Confidence Bands for ROC Curves: Methods and an Empirical Study.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
2003
Predicting citation rates for physics papers: constructing features for an ordered probit model.
SIGKDD Explor., 2003
SIGKDD Explor., 2003
J. Mach. Learn. Res., 2003
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction.
J. Artif. Intell. Res., 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
2001
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001
Active Learning for Class Probability Estimation and Ranking.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
2000
Discovering Interesting Patterns for Investment Decision Making with GLOWER - A Genetic Learner Overlaid with Entropy Reduction.
Data Min. Knowl. Discov., 2000
1999
Problem Definition, Data Cleaning, and Evaluation: A Classifier Learning Case Study.
Informatica (Slovenia), 1999
Data Min. Knowl. Discov., 1999
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
1998
Mach. Learn., 1998
The Case against Accuracy Estimation for Comparing Induction Algorithms.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998
1997
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
1994
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994
Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994
1993
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network.
Proceedings of the Machine Learning, 1993
Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993
1992
A Distributed Algorithm for Embedding Trees in Hypercubes with Modifications for Run-Time Fault Tolerance.
J. Parallel Distributed Comput., 1992
Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992
Inductive Strengthening: the Effects of a Simple Heuristic for Restricting Hypothesis Space Search.
Proceedings of the Analogical and Inductive Inference, 1992
Proceedings of the 10th National Conference on Artificial Intelligence, 1992
1990
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990