Seminar in Information Markets

Amos Fiat (`fiat@math.tau.ac.il`)
1st Semester, 2012/2013 - Wednesday, Kaplun 319

Please give me graded home work assignments by Feb 25.

Logarithmic Market Scoring Rules - Hanson, 2002 – Presentation by Roi Meron, here.

Designing Markets for Prediction – Yiling Chen and David M. Pennock, 2010 – Presentation by Ofir Chen, here.

A Utility Framework for Bounded-Loss Market Makers – Chen and Pennock, 2007 – Presentation by Yonatan Herzig, here. Homework assignment here.

Computational Aspects of Prediction Markets - David M. Pennock and Rahul Sami – Presentation by Rami Eitan, here. Homework assignment here.

Nonmyopic Strategies in Prediction Markets - Stanko Dimitrov and Rahul Sami – Presentation by Denis Eydelman, here. Includes homework assignment.

Gaming Prediction Markets: Equilibrium Strategies with a Market Maker, Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen. By Inna Kalp, here.

Decision Markets With Good Incentives- Yiling Chen, Ian Kash, Mike Ruberry and Victor Shnayder by Amit Somech, here.

Collective Revelation: A Mechanism for Self-Verified, Weighted, and Truthful Predictions, Sharad Goel, Daniel M. Reeves, David M. Pennock, presentation by Nir Shabbat, here.

References

Tutorial on Prediction, Belief and Markets, Jennifer Wortman Vaughan and Jacod Abernethy, references for the tutorials are here.

Designing Markets for Prediction, Yiling Chen and David M. Pennock

The Promise of Prediction Markets, Kenneth J. Arrow et. al.

Gaming Prediction Markets: Equilibrium Strategies with a Market Maker, Chen, Yiling, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow and Rica Gonen

November 7: Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation, Robin Hanson

November 14: Combinatorial Information Market Design, Robin Hanson (Wrong: It’s Designing Markets for Perdiction.)

November 21: Strictly Proper Scoring Rules, Prediction, and Estimation, Tilmann GNEITING and Adrian E. RAFTERY

November 28: A Utility Framework for Bounded-Loss Market Makers, Yiling Chen, David M Pennock

Using Prediction Markets to Track Information Flows: Evidence from Google, Bo Cowgill, Justin Wolfers, Eric Zitzewitz

December 5: Computational Aspects of Prediction Markets, David M. Pennock and Rahul Sami

Computation in a Distributed Information Market, Joan Feigenbaum, Lance Fortnow, David M. Pennock and Rahul Sami (Postscript, not PDF)

December 12: A New Understanding of Prediction Markets Via No-Regret Learning, Yiling Chen and Jennifer Wortman Vaughan

December 19: Nonmyopic Strategies in Prediction Markets, Stanko Dimitrov and Rahul Sami

December 26: Bluffing and Strategic Reticence in Prediction Markets, Yiling Chen, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, and Rica Gonen

Gaming Prediction Markets: Equilibrium Strategies with a Market Maker, Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen

Jan 2: Decision Markets With Good Incentives, Yiling Chen, Ian Kash, Mike Ruberry and Victor Shnayder

Jan 16: Collective Revelation: A Mechanism for Self-Verified, Weighted, and Truthful Predictions, Sharad Goel, Daniel M. Reeves, David M. Pennock

Multi-outcome and Multidimensional Market Scoring Rules, Lance Fortnow, Rahul Sami

Jan 23: Manipulation-Resistant Recommender Systems through Influence Limits, Paul Resnick and Rahul Sami

The Influence Limiter: Provably Manipulation Resistant Recommender Systems, Paul Resnick and Rahul Sami

Assigned Talks

Introduction, Amos Fiat, March 6, 2012.