• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

• 2022
• 
  Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman:
  Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022)
• 2021
• 
  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
• 
  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
• 
  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)
• 
  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)
• 2019
• 
  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
• 2018
• 
  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)
• 
  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)
• 
  Elon Portugaly, Joseph J. Pfeiffer III:
  Unbiased Estimation of the Value of an Optimized Policy. CoRR abs/1806.02794 (2018)
• 2017
• 
  Joseph J. Pfeiffer III, Elena Zheleva:
  Optimizing the Effectiveness of Incentivized Social Sharing. ASONAM 2017: 119-122
• 2015
• 
  Stephen Mussmann, John Moore, Joseph John Pfeiffer III, Jennifer Neville:
  Incorporating Assortativity and Degree Dependence into Scalable Network Models. AAAI 2015: 238-246
• 
  Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III:
  Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. SIGIR 2015: 787-790
• 
  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
• 
  Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett:
  Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. CIKM 2014: 639-648
• 
  Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner:
  A Scalable Method for Exact Sampling from Kronecker Family Models. ICDM 2014: 440-449
• 
  Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
  Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM 2014: 490-499
• 
  Stephen Mussmann, John Moore, Joseph J. Pfeiffer III, Jennifer Neville:
  Assortativity in Chung Lu Random Graph Models. SNAKDD 2014: 3:1-3:8
• 
  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
• 
  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
• 
  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
• 
  Robert Platt Jr., Frank Permenter, Joel Pfeiffer:
  Using Bayesian Filtering to Localize Flexible Materials During Manipulation. IEEE Trans. Robotics 27(3): 586-598 (2011)
• 
  Joseph J. Pfeiffer III, Jennifer Neville:
  Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. ICWSM 2011
• 
  Joseph J. Pfeiffer III, Jennifer Neville:
  Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. CoRR abs/1104.0319 (2011)
• 2009
• 
  Soumya Ghosh, Joseph J. Pfeiffer III, Jane Mulligan:
  A general framework for reconciling multiple weak segmentations of an image. WACV 2009: 1-8