Isoelastic Agents and Wealth Updates in Machine Learning Markets
暂无分享,去创建一个
[1] C. Manski. Interpreting the Predictions of Prediction Markets , 2004 .
[2] S. Amari. Integration of Stochastic Models by Minimizing -Divergence , 2007, Neural Computation.
[3] Paul C. Tetlock,et al. The Promise of Prediction Markets , 2008, Science.
[4] Prithviraj Dasgupta,et al. A multi‐agent system for analyzing the effect of information on prediction markets , 2011, Int. J. Intell. Syst..
[5] Nathan Lay,et al. Supervised Aggregation of Classifiers using Artificial Prediction Markets , 2010, ICML.
[6] Nathan Lay,et al. An introduction to artificial prediction markets for classification , 2011, J. Mach. Learn. Res..
[7] P. Samuelson,et al. Foundations of Economic Analysis. , 1948 .
[8] K. Arrow,et al. EXISTENCE OF AN EQUILIBRIUM FOR A COMPETITIVE ECONOMY , 1954 .
[9] John Langford,et al. Learning performance of prediction markets with Kelly bettors , 2012, AAMAS.
[10] R. Cole,et al. Fast-Converging Tatonnement Algorithms for the Market Problem , 2007 .
[11] Pedro M. Domingos. Bayesian Averaging of Classifiers and the Overfitting Problem , 2000, ICML.
[12] Nimrod Megiddo,et al. Equilibrium in prediction markets with buyers and sellers , 2010 .
[13] R. Hanson,et al. An experimental test of combinatorial information markets , 2009 .
[14] Jacob D. Abernethy,et al. A Collaborative Mechanism for Crowdsourcing Prediction Problems , 2011, NIPS.
[15] Amos J. Storkey,et al. Machine Learning Markets , 2011, AISTATS.
[16] David S. Lee,et al. Bayesian Learning and the Pricing of New Information: Evidence from Prediction Markets , 2009 .
[17] Thomas P. Minka,et al. Bayesian model averaging is not model combination , 2002 .
[18] Rich Caruana,et al. An empirical comparison of supervised learning algorithms , 2006, ICML.
[19] Amin Saberi,et al. A Fast and Simple Algorithm for Computing Market Equilibria , 2008, WINE.
[20] Jennifer Wortman Vaughan,et al. An optimization-based framework for automated market-making , 2010, EC '11.
[21] Dalei Wu. Parameter Estimation for -GMM Based on Maximum Likelihood Criterion , 2009, Neural Computation.
[22] Nikhil R. Devanur,et al. Market equilibrium via a primal--dual algorithm for a convex program , 2008, JACM.
[23] Xiaotie Deng,et al. On the complexity of equilibria , 2002, STOC '02.
[24] V. Vazirani. Algorithmic Game Theory: Combinatorial Algorithms for Market Equilibria , 2007 .
[25] Yehuda Koren,et al. Lessons from the Netflix prize challenge , 2007, SKDD.
[26] Michael P. Wellman,et al. Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market , 1997, UAI.
[27] L. V. Williams,et al. Prediction Markets , 2003 .
[28] Pedro M. Domingos. Why Does Bagging Work? A Bayesian Account and its Implications , 1997, KDD.
[29] Jennifer Wortman Vaughan,et al. A new understanding of prediction markets via no-regret learning , 2010, EC '10.
[30] Yinyu Ye,et al. A path to the Arrow–Debreu competitive market equilibrium , 2007, Math. Program..
[31] Jie-Jun Tseng,et al. Statistical properties of agent-based models in markets with continuous double auction mechanism , 2010, 1002.0917.
[32] Sanmay Das,et al. Comparing Prediction Market Structures, With an Application to Market Making , 2010, ArXiv.
[33] Marco Ottaviani,et al. Aggregation of Information and Beliefs in Prediction Markets , 2007 .
[34] David M. Pennock,et al. An Empirical Comparison of Algorithms for Aggregating Expert Predictions , 2006, UAI.