Brian Dalessandro

Publication Activity (10 Years)

Years Active: 2009-2016
Publications (10 Years): 1

Top Topics

Supervised Dimensionality Reduction

Machine Learning

Online Advertising

Top Venues

Publications

Julie Moeyersoms, Brian Dalessandro, Foster J. Provost, David Martens
Explaining Classification Models Built on High-Dimensional Sparse Data. CoRR (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)
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)
Brian Dalessandro
Bring the Noise: Embracing Randomness Is the Key to Scaling Up Machine Learning Algorithms. Big Data 1 (2) (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)
Foster J. Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray
Audience selection for on-line brand advertising: privacy-friendly social network targeting. KDD (2009)