Audience selection for on-line brand advertising: privacy-friendly social network targeting. - Foster J. Provost; Brian Dalessandro; Rod Hook; Xiaohan Zhang; Alan Murray (KDD, 2009)

Causally motivated attribution for online advertising. - Brian Dalessandro; Claudia Perlich; Ori Stitelman; Foster J. Provost (AdKDD@KDD, 2012)

Bid optimizing and inventory scoring in targeted online advertising. - Claudia Perlich; Brian Dalessandro; Rod Hook; Ori Stitelman; Troy Raeder; Foster J. Provost (KDD, 2012)

Design principles of massive, robust prediction systems. - Troy Raeder; Ori Stitelman; Brian Dalessandro; Claudia Perlich; Foster J. Provost (KDD, 2012)

The Microsoft Academic Search challenges at KDD Cup 2013. - Martine De Cock; Senjuti Basu Roy; Swapna Savvana; Vani Mandava; Brian Dalessandro; Claudia Perlich; William Cukierski; Benjamin Hamner (IEEE BigData, 2013)

Scalable supervised dimensionality reduction using clustering. - Troy Raeder; Claudia Perlich; Brian Dalessandro; Ori Stitelman; Foster J. Provost (KDD, 2013)

The Microsoft academic search dataset and KDD Cup 2013. - Senjuti Basu Roy; Martine De Cock; Vani Mandava; Swapna Savanna; Brian Dalessandro; Claudia Perlich; William Cukierski; Ben Hamner (KDD Cup, 2013)

Using co-visitation networks for detecting large scale online display advertising exchange fraud. - Ori Stitelman; Claudia Perlich; Brian Dalessandro; Rod Hook; Troy Raeder; Foster J. Provost (KDD, 2013)

Bring the Noise: Embracing Randomness Is the Key to Scaling Up Machine Learning Algorithms. - Brian Dalessandro (Big Data, 2013)

Scalable hands-free transfer learning for online advertising. - Brian Dalessandro; Daizhuo Chen; Troy Raeder; Claudia Perlich; Melinda Han Williams; Foster J. Provost (KDD, 2014)

Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth. - Melinda Han Williams; Claudia Perlich; Brian Dalessandro; Foster J. Provost (ADKDD@KDD, 2014)

Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. - Brian Dalessandro; Claudia Perlich; Troy Raeder (Big Data, 2014)

Machine learning for targeted display advertising: transfer learning in action. - Claudia Perlich; Brian Dalessandro; Troy Raeder; Ori Stitelman; Foster J. Provost (Mach. Learn., 2014)

Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. - Brian Dalessandro; Rod Hook; Claudia Perlich; Foster J. Provost (Big Data, 2015)

Explaining Classification Models Built on High-Dimensional Sparse Data. - Julie Moeyersoms; Brian Dalessandro; Foster J. Provost; David Martens (CoRR, 2016)