Joseph J. Pfeiffer III

18 papers A* 5A 3B 1Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	A	`conf`	Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman
2021	J	`jnl`	Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
2019	—	`ch.`	Incentivized Social Sharing: Characteristics and Optimization. Influence and Behavior Analysis in Social Networks and Social Media Joseph J. Pfeiffer III, Elena Zheleva
2018	J	`jnl`	Scalable and exact sampling method for probabilistic generative graph models. Data Min. Knowl. Discov. Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville
2018	J	`jnl`	Unbiased Estimation of the Value of an Optimized Policy. CoRR Elon Portugaly, Joseph J. Pfeiffer III
2017	B	`conf`	Optimizing the Effectiveness of Incentivized Social Sharing. ASONAM Joseph J. Pfeiffer III, Elena Zheleva
2015	A*	`conf`	Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. SIGIR Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III
2015	A*	`conf`	Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. WWW Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2015	—	`—`	Overcoming uncertainty for within-network relational machine learning Joseph J. Pfeiffer III
2014	A*	`conf`	A Scalable Method for Exact Sampling from Kronecker Family Models. ICDM Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner
2014	—	`conf`	Assortativity in Chung Lu Random Graph Models. SNAKDD Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville
2014	A*	`conf`	Attributed graph models: modeling network structure with correlated attributes. WWW Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher
2014	A*	`conf`	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2012	—	`conf`	Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures. SocialCom/PASSAT Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville
2012	J	`jnl`	Fast Generation of Large Scale Social Networks with Clustering CoRR Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville
2011	J	`jnl`	Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure CoRR Joseph J. Pfeiffer III, Jennifer Neville
2011	A	`conf`	Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. ICWSM Joseph J. Pfeiffer III, Jennifer Neville
2009	A	`conf`	A general framework for reconciling multiple weak segmentations of an image. WACV Soumya Ghosh, Joseph J. Pfeiffer III, Jane Mulligan