Claudia Perlich

Publication Activity (10 Years)

Years Active: 2003-2018
Publications (10 Years): 3

Top Topics

Transfer Learning

Supervised Dimensionality Reduction

Sponsored Search

Click Prediction

Top Venues

Publications

Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers. KDD (2018)
Yeming Shi, Ori Stitelman, Claudia Perlich
Blacklisting the Blacklist in Online Advertising: Improving Delivery by Bidding for What You Can Win. ADKDD@KDD (2017)
Claudia Perlich
Automated Machine Learning in the Wild. RecSys (2016)
Brian Dalessandro, Rod Hook, Claudia Perlich, Foster J. Provost
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. Big Data 3 (2) (2015)
Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost
Machine learning for targeted display advertising: transfer learning in action. Mach. Learn. 95 (1) (2014)
Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich
A Data Scientist's Guide to Start-Ups. Big Data 2 (3) (2014)
Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost
Scalable hands-free transfer learning for online advertising. KDD (2014)
Brian Dalessandro, Claudia Perlich, Troy Raeder
Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. Big Data 2 (2) (2014)
Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth. ADKDD@KDD (2014)
Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost
Using co-visitation networks for detecting large scale online display advertising exchange fraud. KDD (2013)
Senjuti Basu Roy, Martine De Cock, Vani Mandava, Swapna Savanna, Brian Dalessandro, Claudia Perlich, William Cukierski, Ben Hamner
The Microsoft academic search dataset and KDD Cup 2013. KDD Cup (2013)
Troy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost
Scalable supervised dimensionality reduction using clustering. KDD (2013)
Martine De Cock, Senjuti Basu Roy, Swapna Savvana, Vani Mandava, Brian Dalessandro, Claudia Perlich, William Cukierski, Benjamin Hamner
The Microsoft Academic Search challenges at KDD Cup 2013. IEEE BigData (2013)
Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost
Design principles of massive, robust prediction systems. KDD (2012)
Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost
Bid optimizing and inventory scoring in targeted online advertising. KDD (2012)
Brian Dalessandro, Claudia Perlich, Ori Stitelman, Foster J. Provost
Causally motivated attribution for online advertising. AdKDD@KDD (2012)
Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman
Leakage in data mining: Formulation, detection, and avoidance. ACM Trans. Knowl. Discov. Data 6 (4) (2012)
Shachar Kaufman, Saharon Rosset, Claudia Perlich
Leakage in data mining: formulation, detection, and avoidance. KDD (2011)
Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen
Latent graphical models for quantifying and predicting patent quality. KDD (2011)
Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20 (3) (2010)
Claudia Perlich, Grzegorz Swirszcz
On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explor. 12 (2) (2010)
Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar
Operations Research Improves Sales Force Productivity at IBM. Interfaces 40 (1) (2010)
Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
Spatial-temporal causal modeling for climate change attribution. KDD (2009)
Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu
Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup (2009)
Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. 10 (2) (2008)
Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss
Analytics-driven solutions for customer targeting and sales-force allocation. IBM Syst. J. 46 (4) (2007)
Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
High-quantile modeling for customer wallet estimation and other applications. KDD (2007)
Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNA-KDD (2007)
Claudia Perlich, Saharon Rosset
Identifying Bundles of Product Options using Mutual Information Clustering. SDM (2007)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12 (3) (2007)
Saharon Rosset, Claudia Perlich, Yan Liu
Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explor. 9 (2) (2007)
Claudia Perlich, Foster J. Provost
Distribution-based aggregation for relational learning with identifier attributes. Mach. Learn. 62 (1-2) (2006)
Srujana Merugu, Saharon Rosset, Claudia Perlich
A new multi-view regression approach with an application to customer wallet estimation. KDD (2006)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-Based Evaluation of Regression Models. ICDM (2005)
Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis. J. Mach. Learn. Res. 4 (2003)
Claudia Perlich, Foster J. Provost, Sofus A. Macskassy
Predicting citation rates for physics papers: constructing features for an ordered probit model. SIGKDD Explor. 5 (2) (2003)
Claudia Perlich, Foster J. Provost
Aggregation-based feature invention and relational concept classes. KDD (2003)