Joseph J. Pfeiffer III

Senior ML scientist at Microsoft Bing Ads working on a variety of ML topics. I graduated with a PhD a few years ago from Purdue, studying machine learning in relational domains with Professor Jennifer Neville.

A collection of code for various models, generally written in Python for the simplest forms of representations. Several of these are done simply for my own practice/experience and I think they could be useful for someone else looking for example code. Some of these are implementations of other work and some from my own work above.

@inproceedings {neurips20,
author = {Razieh Nabi, Joseph J. {Pfeiffer III}, Murat Bayir, Denis Charles and Emre Kiciman},
title = {Causal Inference In The Presence of Interference In Sponsored Search Advertising},
year = {2020},
booktitle = {NeurIPS Causal Learning Workshop}
}

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction

@inproceedings {wsdm2021,
author = {Shuxi Zeng, Emre Kiciman, Denis Charles, Joseph J. {Pfeiffer III} and Murat Bayir},
title = {Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction},
year = {2021},
booktitle = {WSDM}
}

@inproceedings {msjar2018,
author = {Elon Portugaly and Joseph J. {Pfeiffer III}},
title = {Unbiased Estimation of the Value of an Optimized Policy},
year = {2018},
booktitle = {Microsoft Journal of Applied Research 2018}
}

@inproceedings {dmkd2018,
author = {Sebastian Moreno and Jennifer Neville and Joseph J. {Pfeiffer III}},
title = {Scalable and exact sampling method for probabilistic generative graph models},
year = {2018},
booktitle = {Data Mining and Knowledge Discovery}
}

@inproceedings {sigir2015,
author = {Dhivya Eswaran and Paul N. Bennett and Joseph J. {Pfeiffer III}},
title = {Modeling Website Topic Cohension at Scale to Improve Webpage Classification},
year = {2015},
booktitle = {Proceedings of 38th Annual SIGIR Conference (SIGIR 2015)}
}

Overcoming relational learning biases to accurately predict preferences in large scale networks

@inproceedings {www2015,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks},
year = {2015},
booktitle = {Proceedings of the 24th International World Wide Web Conference (WWW 2015)}
}

@inproceedings {aaai2015,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Incorporating Assortativity and Degree Dependence into Scalable Network Models},
year = {2015},
booktitle = {Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)}
}

Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning

@inproceedings {pfeiffer_icdm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning},
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}

@inproceedings {moreno_icdm2014,
author = {Sebastian Moreno and Joseph J. {Pfeiffer III} and Jennifer Neville and Sergey Kirshner},
title = {A Scalable Method for Exact Sampling from Kronecker Models}, 
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}

Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference

@inproceedings {cikm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference},
year = {2014},
booktitle = {Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014)}
}

@inproceedings {bloombergkdd2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Towards the Sharing of Relational Data},
year = {2014},
booktitle = {KDD at Bloomberg}
}

@inproceedings {snakdd2014,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Assortativity in Chung Lu Random Graph Models},
year = {2014},
booktitle = {Proceedings of the 8th Workshop on Social Network Mining and Analysis (SNAKDD 2014)}
}

@inproceedings {www2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Modeling network structure with correlated attributes.},
year = {2014},
booktitle = {Proceedings of the 23rd International World Wide Web Conference (WWW 2014)}
}

@inproceedings {slg2013,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Combining Active Sampling with Parameter Estimation and Prediction in Single Networks},
year = {2013},
booktitle = {Proceedings of the ICML Structured Learning Workshop}
}

@inproceedings {woss2012,
author = {Joseph J. {Pfeiffer III} and Elena Zheleva},
title = {Incentivized Sharing in Social Networks},
year = {2012},
booktitle = {Proceedings of the First International Workshop on Online Social Systems}
}

@inproceedings {socialcom2012,
author = {Joseph J. {Pfeiffer III} and Timothy {La Fond} and Sebastian Moreno and Jennifer Neville},
title = {Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures},
year = {2012},
booktitle = {Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}
}

@inproceedings {mlg2012,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Active Sampling of Networks},
year = {2012},
booktitle = {10th Workshop on Mining and Learning with Graphs (MLG)}
}

@inproceedings {icwsm2011,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure},
year = {2011},
booktitle = {Proceedings of the 5th Interational AAAI Converence on Weblogs and Social Media, ICWSM 2011}
}

@inproceedings {tro2011,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Using Touch to Localize Flexible Materials During Manipulation},
year = {2011},
booktitle = {IEEE Transactions on Robotics, Special Issue on a Robotic Sense of Touch.  June, 2011}
}

@inproceedings {snakdd2010,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Probabilistic Paths and Centrality in Time},
year = {2010},
booktitle = {Proceedings of the 4th SNA-KDD Workshop, KDD, 2010}
}

@inproceedings {mmwicra2010,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Inferring hand-object configuration directly from tactile data},
year = {2010},
booktitle = {Electronically published proceeding of the Mobile Manipulation Workshop, IEEE Conference on Robotics and Automation (ICRA), May 2010.}
}

@inproceedings {wacv2009,
author = {Soumya Ghosh and Joseph J. {Pfeiffer III} and Jane Mulligan},
title = {A General Framework for Reconciling Multiple Weak Segmentations of an Image},
year = {2009},
booktitle = {IEEE Workshop on Applications of Computer Vision}
}

@phdthesis {thesis,
author = {Joseph J. {Pfeiffer III}},
title = {Overcoming Uncertainty for Within-Network Relational Machine Learning},
year = {2015},
month = May,
school = {Purdue University}
}