| 2022 | AAAI | A Synthetic Prediction Market for Estimating Confidence in Published Work. | Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles |
| 2021 | SODA | Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. | Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins |
| 2020 | AAAI | Preventing Arbitrage from Collusion When Eliciting Probabilities. | Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner |
| 2020 | ICML | No-Regret and Incentive-Compatible Online Learning. | Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan |
| 2020 | IJCAI | Proportionality in Approval-Based Elections With a Variable Number of Winners. | Rupert Freeman, Anson Kahng, David M. Pennock |
| 2019 | AAAI | An Equivalence between Wagering and Fair-Division Mechanisms. | Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan |
| 2019 | EC | Truthful Aggregation of Budget Proposals. | Rupert Freeman, David M. Pennock, Dominik Peters, Jennifer Wortman Vaughan |
| 2019 | WWW | Smarter Markets: Bringing Intelligence into the Exchange. | David M. Pennock |
| 2018 | AAAI | Incentive-Compatible Forecasting Competitions. | Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause |
| 2018 | IJCAI | An Axiomatic View of the Parimutuel Consensus Mechanism. | Rupert Freeman, David M. Pennock |
| 2017 | AAAI | Crowdsourced Outcome Determination in Prediction Markets. | Rupert Freeman, Sbastien Lahaie, David M. Pennock |
| 2016 | IJCAI | An Empirical Game-Theoretic Analysis of Price Discovery in Prediction Markets. | Elaine Wah, Sbastien Lahaie, David M. Pennock |
| 2016 | UAI | Bounded Rationality in Wagering Mechanisms. | David M. Pennock, Vasilis Syrgkanis, Jennifer Wortman Vaughan |
| 2015 | UAI | Budget Constraints in Prediction Markets. | Nikhil R. Devanur, Miroslav Dudk, Zhiyi Huang, David M. Pennock |
| 2014 | AAAI | Betting Strategies, Market Selection, and the Wisdom of Crowds. | Willemien Kets, David M. Pennock, Rajiv Sethi, Nisarg Shah |
| 2012 | AAMAS | Learning performance of prediction markets with Kelly bettors. | Alina Beygelzimer, John Langford, David M. Pennock |
| 2012 | AAMAS | TrustBets: betting over an IOU network. | Sharad Goel, David M. Pennock, Mohammad Mahdian, Daniel M. Reeves |
| 2011 | IJCAI | An Efficient Monte-Carlo Algorithm for Pricing Combinatorial Prediction Markets for Tournaments. | Lirong Xia, David M. Pennock |
| 2011 | UAI | Price Updating in Combinatorial Prediction Markets with Bayesian Networks. | David M. Pennock, Lirong Xia |
| 2008 | AAAI | Yoopick: A Combinatorial Sports Prediction Market. | Sharad Goel, David M. Pennock, Daniel M. Reeves, Cong Yu |
| 2008 | AAAI | An Expressive Auction Design for Online Display Advertising. | Sbastien Lahaie, David C. Parkes, David M. Pennock |
| 2008 | STOC | Pricing combinatorial markets for tournaments. | Yiling Chen, Sharad Goel, David M. Pennock |
| 2007 | KDD | Applying collaborative filtering techniques to movie search for better ranking and browsing. | Seung-Taek Park, David M. Pennock |
| 2007 | UAI | A Utility Framework for Bounded-Loss Market Makers. | Yiling Chen, David M. Pennock |
| 2006 | KDD | Nave filterbots for robust cold-start recommendations. | Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste |
| 2006 | UAI | An Empirical Comparison of Algorithms for Aggregating Expert Predictions. | Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach |
| 2004 | INFOCOM | Comparing static and dynamic measurements and models of the Internet's AS topology. | Seung-Taek Park, David M. Pennock, C. Lee Giles |
| 2003 | ICDM | Statistical Relational Learning for Document Mining. | Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock |
| 2003 | ICML | Mixtures of Conditional Maximum Entropy Models. | Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar |
| 2003 | INFOCOM | Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. | Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar |
| 2003 | WWW | Mining the peanut gallery: opinion extraction and semantic classification of product reviews. | Kushal Dave, Steve Lawrence, David M. Pennock |
| 2003 | UAI | 1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". | Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence |
| 2002 | CIKM | Inferring hierarchical descriptions. | Eric J. Glover, David M. Pennock, Steve Lawrence, Robert Krovetz |
| 2002 | WWW | The structure of broad topics on the web. | Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock |
| 2002 | WWW | Using web structure for classifying and describing web pages. | Eric J. Glover, Kostas Tsioutsiouliklis, Steve Lawrence, David M. Pennock, Gary William Flake |
| 2002 | SIGIR | Analysis of lexical signatures for finding lost or related documents. | Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz |
| 2002 | SIGIR | Methods and metrics for cold-start recommendations. | Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock |
| 2002 | UAI | Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. | David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles |
| 2002 | VLDB | REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex. | Dan Cosley, Steve Lawrence, David M. Pennock |
| 2001 | KDD | Extracting collective probabilistic forecasts from web games. | David M. Pennock, Steve Lawrence, Finn rup Nielsen, C. Lee Giles |
| 2001 | UAI | Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. | Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence |
| 2000 | AAAI | Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering. | David M. Pennock, Eric Horvitz, C. Lee Giles |
| 2000 | CIKM | Persistence of information on the web: Analyzing citations contained in research articles. | Steve Lawrence, Frans Coetzee, Gary William Flake, David M. Pennock, Robert Krovetz, Finn rup Nielsen, Andries Kruger, C. Lee Giles |
| 2000 | ICML | A Normative Examination of Ensemble Learning Algorithms. | David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, Eric Horvitz |
| 2000 | UAI | Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach. | David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles |
| 2000 | UAI | Compact Securities Markets for Pareto Optimal Reallocation of Risk. | David M. Pennock, Michael P. Wellman |
| 1999 | UAI | Graphical Representations of Consensus Belief. | David M. Pennock, Michael P. Wellman |
| 1998 | UAI | Logarithmic Time Parallel Bayesian Inference. | David M. Pennock |
| 1997 | UAI | Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. | David M. Pennock, Michael P. Wellman |
| 1996 | AAAI | MarketBayes: A Distributed, Market-Based Bayesian Network. | David M. Pennock |
| 1996 | AAAI | Exploiting a Theory of Phase Transitions in Three-Satisfiability Problems. | David M. Pennock, Quentin F. Stout |
| 1996 | SIGCSE | Home-study software: flexible, interactive, and distributed software for independent study. | Christopher Connelly, Alan W. Biermann, David M. Pennock, Peter Wu |
| 1996 | UAI | Toward a Market Model for Bayesian Inference. | David M. Pennock, Michael P. Wellman |
| 1994 | SIGCSE | Teaching a hierarchical model of computation with animation software in the first course. | Alan W. Biermann, Amr F. Fahmy, Curry I. Guinn, David M. Pennock, Dietolf Ramm, Peter Wu |