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ORCIDJoseph J. Pfeiffer III
Person information
- affiliation: Microsoft, Bellevue, WA, USA
- affiliation (fomer): Purdue University, West Lafayette, IN, USA
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Journal Articles
- 2022
[j3]Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022)- 2018
- [j2]Sebastián Moreno
, Joseph J. Pfeiffer III, Jennifer Neville:
Scalable and exact sampling method for probabilistic generative graph models. Data Min. Knowl. Discov. 32(6): 1561-1596 (2018) - 2011
- [j1]Robert Platt Jr., Frank Permenter, Joel Pfeiffer:
Using Bayesian Filtering to Localize Flexible Materials During Manipulation. IEEE Trans. Robotics 27(3): 586-598 (2011)
Conference and Workshop Papers
- 2021
- [c13]Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman:
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM 2021: 211-219 - 2017
- [c12]Joseph J. Pfeiffer III, Elena Zheleva:
Optimizing the Effectiveness of Incentivized Social Sharing. ASONAM 2017: 119-122 - 2015
- [c11]Stephen Mussmann, John Moore, Joseph John Pfeiffer III, Jennifer Neville:
Incorporating Assortativity and Degree Dependence into Scalable Network Models. AAAI 2015: 238-246 - [c10]Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III:
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. SIGIR 2015: 787-790 - [c9]Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. WWW 2015: 853-863 - 2014
- [c8]Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. CIKM 2014: 639-648 - [c7]Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner:
A Scalable Method for Exact Sampling from Kronecker Family Models. ICDM 2014: 440-449 - [c6]Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM 2014: 490-499 - [c5]Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville:
Assortativity in Chung Lu Random Graph Models. SNAKDD 2014: 3:1-3:8 - [c4]Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher:
Attributed graph models: modeling network structure with correlated attributes. WWW 2014: 831-842 - 2012
- [c3]Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville:
Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures. SocialCom/PASSAT 2012: 154-165 - 2011
- [c2]Joseph J. Pfeiffer III, Jennifer Neville:
Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. ICWSM 2011 - 2009
- [c1]Soumya Ghosh, Joseph J. Pfeiffer III, Jane Mulligan:
A general framework for reconciling multiple weak segmentations of an image. WACV 2009: 1-8
Parts in Books or Collections
- 2019
- [p1]Joseph J. Pfeiffer III, Elena Zheleva:
Incentivized Social Sharing: Characteristics and Optimization. Influence and Behavior Analysis in Social Networks and Social Media 2019: 149-174
Informal and Other Publications
- 2021
- [i7]Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson:
Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR abs/2110.14794 (2021) - 2020
- [i6]Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR abs/2010.07458 (2020) - [i5]Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR abs/2010.08710 (2020) - 2018
- [i4]John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu:
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks. CoRR abs/1804.06909 (2018) - [i3]Elon Portugaly, Joseph J. Pfeiffer III:
Unbiased Estimation of the Value of an Optimized Policy. CoRR abs/1806.02794 (2018) - 2012
- [i2]Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville:
Fast Generation of Large Scale Social Networks with Clustering. CoRR abs/1202.4805 (2012) - 2011
- [i1]Joseph J. Pfeiffer III, Jennifer Neville:
Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. CoRR abs/1104.0319 (2011)
Coauthor Index
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