Joseph J. Pfeiffer III

2021

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Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction.
Shuxi Zeng|Murat Ali Bayir|Joseph J. Pfeiffer III|Denis Charles|Emre Kiciman
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2015

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Modeling Website Topic Cohesion at Scale to Improve Webpage Classification.
Dhivya Eswaran|Paul N. Bennett|Joseph J. Pfeiffer III
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015
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Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks.
Joseph J. Pfeiffer III|Jennifer Neville|Paul N. Bennett
Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015

2014

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Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference.
Joseph John Pfeiffer III|Jennifer Neville|Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
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Attributed graph models: modeling network structure with correlated attributes.
Joseph J. Pfeiffer III|Sebastián Moreno|Timothy La Fond|Jennifer Neville|Brian Gallagher
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014