David M. Pennock

David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles: Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. CoRR abs/1301.0594 (2013)

Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence: Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. CoRR abs/1301.2303 (2013)

David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles: Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach. CoRR abs/1301.3885 (2013)

David M. Pennock, Michael P. Wellman: Compact Securities Markets for Pareto Optimal Reallocation of Risk. CoRR abs/1301.3886 (2013)

David M. Pennock, Michael P. Wellman: Graphical Representations of Consensus Belief. CoRR abs/1301.6732 (2013)

David M. Pennock: Logarithmic Time Parallel Bayesian Inference. CoRR abs/1301.7406 (2013)

David M. Pennock, Michael P. Wellman: Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. CoRR abs/1302.1564 (2013)

David M. Pennock, Michael P. Wellman: Toward a Market Model for Bayesian Inference. CoRR abs/1302.3593 (2013)

Alina Beygelzimer, John Langford, David M. Pennock: Learning performance of prediction markets with Kelly bettors. AAMAS 2012: 1317-1318

Sharad Goel, David M. Pennock, Mohammad Mahdian, Daniel M. Reeves: TrustBets: betting over an IOU network. AAMAS 2012: 1319-1320

Miroslav Dudík, Sébastien Lahaie, David M. Pennock: A tractable combinatorial market maker using constraint generation. ACM Conference on Electronic Commerce 2012: 459-476

Alina Beygelzimer, John Langford, David Pennock: Learning Performance of Prediction Markets with Kelly Bettors. CoRR abs/1201.6655 (2012)

David M. Pennock, Lirong Xia: Price Updating in Combinatorial Prediction Markets with Bayesian Networks. CoRR abs/1202.3756 (2012)

Yiling Chen, David M. Pennock: A Utility Framework for Bounded-Loss Market Makers. CoRR abs/1206.5252 (2012)

Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence: 1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". CoRR abs/1212.2477 (2012)

Lirong Xia, David M. Pennock: An Efficient Monte-Carlo Algorithm for Pricing Combinatorial Prediction Markets for Tournaments. IJCAI 2011: 452-457

David Pennock, Lirong Xia: Price Updating in Combinatorial Prediction Markets with Bayesian Networks. UAI 2011: 581-588

Yiling Chen, David M. Pennock: Designing Markets for Prediction. AI Magazine 31(4): 42-52 (2010)

Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen: Gaming Prediction Markets: Equilibrium Strategies with a Market Maker. Algorithmica 58(4): 930-969 (2010)

Sharad Goel, Daniel M. Reeves, Duncan J. Watts, David M. Pennock: Prediction without markets. ACM Conference on Electronic Commerce 2010: 357-366

Abraham Othman, Tuomas Sandholm, David M. Pennock, Daniel M. Reeves: A practical liquidity-sensitive automated market maker. ACM Conference on Electronic Commerce 2010: 377-386

Joan Feigenbaum, David C. Parkes, David M. Pennock: Computational challenges in e-commerce. Commun. ACM 52(1): 70-74 (2009)

Mingyu Guo, David M. Pennock: Combinatorial prediction markets for event hierarchies. AAMAS (1) 2009: 201-208

Sharad Goel, Daniel M. Reeves, David M. Pennock: Collective revelation: a mechanism for self-verified, weighted, and truthful predictions. ACM Conference on Electronic Commerce 2009: 265-274

Xi Alice Gao, Yiling Chen, David M. Pennock: Betting on the Real Line. WINE 2009: 553-560

Sanmay Das, Michael Ostrovsky, David Pennock, Boleslaw K. Szymanski (Eds.): Auctions, Market Mechanisms and Their Applications, First International ICST Conference, AMMA 2009, Boston, MA, USA, May 8-9, 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 14, Springer 2009, isbn 978-3-642-03820-4

Nicolas S. Lambert, David M. Pennock, Yoav Shoham: Eliciting properties of probability distributions: the highlights. SIGecom Exchanges 7(3) (2008)

Sébastien Lahaie, David C. Parkes, David M. Pennock: An Expressive Auction Design for Online Display Advertising. AAAI 2008: 108-113

Sharad Goel, David Pennock, Daniel M. Reeves, Cong Yu: Yoopick: A Combinatorial Sports Prediction Market. AAAI 2008: 1880-1881

Nicolas S. Lambert, David M. Pennock, Yoav Shoham: Eliciting properties of probability distributions. ACM Conference on Electronic Commerce 2008: 129-138

Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock: Self-financed wagering mechanisms for forecasting. ACM Conference on Electronic Commerce 2008: 170-179

Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman: Complexity of combinatorial market makers. ACM Conference on Electronic Commerce 2008: 190-199

Yiling Chen, Sharad Goel, David M. Pennock: Pricing combinatorial markets for tournaments. STOC 2008: 305-314

Yiling Chen, Arpita Ghosh, Randolph Preston McAfee, David Pennock: Sharing Online Advertising Revenue with Consumers. WINE 2008: 556-565

Mohammad Mahdian, Randolph Preston McAfee, David Pennock: The Secretary Problem with a Hazard Rate Condition. WINE 2008: 708-715

Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman: Complexity of Combinatorial Market Makers. CoRR abs/0802.1362 (2008)

Juan Feng, Hemant K. Bhargava, David M. Pennock: Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms. INFORMS Journal on Computing 19(1): 137-148 (2007)

Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock: Combinatorial betting. SIGecom Exchanges 7(1): 61-64 (2007)

Seung-Taek Park, David M. Pennock: Applying collaborative filtering techniques to movie search for better ranking and browsing. KDD 2007: 550-559

Sébastien Lahaie, David M. Pennock: Revenue analysis of a family of ranking rules for keyword auctions. ACM Conference on Electronic Commerce 2007: 50-56

Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock: Betting on permutations. ACM Conference on Electronic Commerce 2007: 326-335

Yiling Chen, John O. Ledyard, David M. Pennock, Eric Zitzewitz: Second workshop on prediction markets. ACM Conference on Electronic Commerce 2007: 361-362

Yiling Chen, David M. Pennock: A Utility Framework for Bounded-Loss Market Makers. UAI 2007: 49-56

Yiling Chen, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen: Bluffing and Strategic Reticence in Prediction Markets. WINE 2007: 70-81

Arpita Ghosh, Mohammad Mahdian, Daniel M. Reeves, David M. Pennock, Ryan Fugger: Mechanism Design on Trust Networks. WINE 2007: 257-268

Seung-Taek Park, David Pennock, Omid Madani, Nathan Good, Dennis DeCoste: Naïve filterbots for robust cold-start recommendations. KDD 2006: 699-705

Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach: An Empirical Comparison of Algorithms for Aggregating Expert Predictions. UAI 2006

Joan Feigenbaum, John C.-I. Chuang, David M. Pennock (Eds.): Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), Ann Arbor, Michigan, USA, June 11-15, 2006. ACM 2006, isbn 1-59593-236-4

Bernard Mangold, Mike Dooley, Gary William Flake, Havi Hoffman, Tejaswi Kasturi, David M. Pennock, Rael Dornfest: The Tech Buzz Game. IEEE Computer 38(7): 94-97 (2005)

David M. Pennock, Michael P. Wellman: Graphical Models for Groups: Belief Aggregation and Risk Sharing. Decision Analysis 2(3): 148-164 (2005)

Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman: Betting Boolean-style: a framework for trading in securities based on logical formulas. Decision Support Systems 39(1): 87-104 (2005)

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock: CROC: A New Evaluation Criterion for Recommender Systems. Electronic Commerce Research 5(1): 51-74 (2005)

Joan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami: Computation in a distributed information market. Theor. Comput. Sci. 343(1-2): 114-132 (2005)

Yiling Chen, Chao-Hsien Chu, Tracy Mullen, David M. Pennock: Information markets vs. opinion pools: an empirical comparison. ACM Conference on Electronic Commerce 2005: 58-67

David M. Pennock: The Eudaemonic Pie: A Review. AI Magazine 25(2): 125-128 (2004)

Emile Servan-Schreiber, Justin Wolfers, David M. Pennock, Brian Galebach: Prediction Markets: Does Money Matter? Electronic Markets 14(3): 243-251 (2004)

Dmitry Pavlov, Eren Manavoglu, David M. Pennock, C. Lee Giles: Collaborative Filtering with Maximum Entropy. IEEE Intelligent Systems 19(6): 40-48 (2004)

David M. Pennock: Conference report: the fifth ACM conference on electronic commerce. SIGecom Exchanges 5(1): 48-56 (2004)

Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz: Analysis of lexical signatures for improving information persistence on the World Wide Web. ACM Trans. Inf. Syst. 22(4): 540-572 (2004)

Arnaud De Bruyn, C. Lee Giles, David M. Pennock: Offering Collaborative-Like Recommendations When Data Is Sparse: The Case of Attraction-Weighted Information Filtering.. AH 2004: 393-396

Seung-Taek Park, David M. Pennock, C. Lee Giles: Comparing static and dynamic measurements and models of the Internet's AS topology. INFOCOM 2004

Omid Madani, David M. Pennock, Gary William Flake: Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. NIPS 2004

Juan Feng, Hemant K. Bhargava, David M. Pennock: Computational Evaluation of Alternative Paid Placement Mechanisms in Search Engines. PACIS 2004: 144

David M. Pennock: A dynamic pari-mutuel market for hedging, wagering, and information aggregation. ACM Conference on Electronic Commerce 2004: 170-179

Steffen Staab, Francis Heylighen, Carlos Gershenson, Gary William Flake, David M. Pennock, Daniel C. Fain, David De Roure, Karl Aberer, Wei-Min Shen, Olivier Dousse, Patrick Thiran: Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing Information Systems. IEEE Intelligent Systems 18(4): 72-86 (2003)

Juan Feng, Hemant K. Bhargava, David M. Pennock: Comparison of allocation rules for paid placement advertising in search engines. ICEC 2003: 294-299

Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock: Statistical Relational Learning for Document Mining. ICDM 2003: 275-282

Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar: Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591

Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar: Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM 2003

Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman: Betting boolean-style: a framework for trading in securities based on logical formulas. ACM Conference on Electronic Commerce 2003: 144-155

Joan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami: Computation in a distributed information market. ACM Conference on Electronic Commerce 2003: 156-165

Sandip Debnath, David M. Pennock, C. Lee Giles, Steve Lawrence: Information incorporation in online in-Game sports betting markets. ACM Conference on Electronic Commerce 2003: 258-259

Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence: 1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". UAI 2003: 337-345

Kushal Dave, Steve Lawrence, David M. Pennock: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. WWW 2003: 519-528

David M. Pennock, Gary William Flake, Steve Lawrence, Eric J. Glover, C. Lee Giles: Winners don't take all: Characterizing the competition for links on the web. Proc. Natl. Acad. Sci. USA 99(8): 5207-5211 (2002)

Eric J. Glover, David M. Pennock, Steve Lawrence, Robert Krovetz: Inferring hierarchical descriptions. CIKM 2002: 507-514

Dmitry Pavlov, David M. Pennock: A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains. NIPS 2002: 1441-1448

Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz: Analysis of lexical signatures for finding lost or related documents. SIGIR 2002: 11-18

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock: Methods and metrics for cold-start recommendations. SIGIR 2002: 253-260

David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles: Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. UAI 2002: 405-413

Dan Cosley, Steve Lawrence, David M. Pennock: REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex. VLDB 2002: 35-46

Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock: The structure of broad topics on the web. WWW 2002: 251-262

Eric J. Glover, Kostas Tsioutsiouliklis, Steve Lawrence, David M. Pennock, Gary William Flake: Using web structure for classifying and describing web pages. WWW 2002: 562-569

Soumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock: The structure of broad topics on the Web. CoRR cs.IR/0203024 (2002)

Steve Lawrence, David M. Pennock, Gary William Flake, Robert Krovetz, Frans Coetzee, Eric J. Glover, Finn Årup Nielsen, Andries Kruger, C. Lee Giles: Persistence of Web References in Scientific Research. IEEE Computer 34(2): 26-31 (2001)

David M. Pennock: Conference report: the second ACM conference on electronic commerce. SIGecom Exchanges 2(1): 33-38 (2001)

David M. Pennock, Steve Lawrence, Finn Årup Nielsen, C. Lee Giles: Extracting collective probabilistic forecasts from web games. KDD 2001: 174-183

Eric J. Glover, Gary William Flake, Steve Lawrence, William P. Birmingham, Andries Kruger, C. Lee Giles, David M. Pennock: Improving Category Specific Web Search by Learning Query Modifications. SAINT 2001: 23-

Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence: Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI 2001: 437-444

David M. Pennock, Eric Horvitz, C. Lee Giles: Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering. AAAI/IAAI 2000: 729-734

Steve Lawrence, Frans Coetzee, Gary William Flake, David M. Pennock, Robert Krovetz, Finn Årup Nielsen, Andries Kruger, C. Lee Giles: Persistence of information on the web: Analyzing citations contained in research articles. CIKM 2000: 235-242

David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, Eric Horvitz: A Normative Examination of Ensemble Learning Algorithms. ICML 2000: 735-742

David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles: Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach. UAI 2000: 473-480

David M. Pennock, Michael P. Wellman: Compact Securities Markets for Pareto Optimal Reallocation of Risk. UAI 2000: 481-488

David M. Pennock, Michael P. Wellman: Graphical Representations of Consensus Belief. UAI 1999: 531-540

David M. Pennock: Logarithmic Time Parallel Bayesian Inference. UAI 1998: 431-438

David M. Pennock, Michael P. Wellman: Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. UAI 1997: 392-400

David M. Pennock, Quentin F. Stout: Exploiting a Theory of Phase Transitions in Three-Satisfiability Problems. AAAI/IAAI, Vol. 1 1996: 253-258

David M. Pennock: MarketBayes: A Distributed, Market-Based Bayesian Network. AAAI/IAAI, Vol. 2 1996: 1402

Christopher Connelly, Alan W. Biermann, David Pennock, Peter Wu: Home-study software: flexible, interactive, and distributed software for independent study. SIGCSE 1996: 63-67

David M. Pennock, Michael P. Wellman: Toward a Market Model for Bayesian Inference. UAI 1996: 405-413

Alan W. Biermann, Amr F. Fahmy, Curry I. Guinn, David Pennock, Dietolf Ramm, Peter Wu: Teaching a hierarchical model of computation with animation software in the first course. SIGCSE 1994: 295-299