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Adaptive Market Making via Online Learning Jacob Abernethy⇤ Computer Science and Engineering University of Michigan [removed]
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Document Date: 2014-11-25 16:19:24


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File Size: 1,55 MB

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Company

IBM / Neural Information Processing Systems / Multiagent Systems / MM / Ht / A. / Microsoft / /

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Event

M&A / Product Recall / Product Issues / /

Facility

University of Pennsylvania / /

IndustryTerm

adaptive learning algorithm / regret algorithms / regret minimizing algorithm / online learning / low-regret algorithm / meta-algorithm / online learning algorithms / online decision problems / regret-minimizing algorithm / low regret algorithm / market maker / weighted majority algorithm / e - commerce / online learning algorithm / Online Learning Jacob Abernethy / /

Organization

University of Michigan / the University of Pennsylvania / CIS Department / /

Person

N. Della Penna / Della Penna / Kalai / Robin Hanson / Weights Now / Jacob Abernethy / M. D. Reid / /

Position

FollowThe-Perturbed-Leader / rushed trader / Follow-The-Perturbed-Leader / author / Making using Follow-The-Perturbed-Leader / trader / /

Product

meta-algorithm / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

Machine Learning / IEEE Transactions on Information Theory / The Journal of Machine Learning Research / /

Technology

2 This algorithm / specific algorithm / regret-minimizing algorithm / underlying algorithm / Universal Portfolio algorithms / FPL algorithm / low regret algorithm / MMMW algorithm / Machine Learning / MW algorithm / adaptive learning algorithm / regret minimizing algorithm / randomized FPL algorithm / online learning algorithm / low-regret algorithm / following meta-algorithm / artificial intelligence / weighted majority algorithm / online learning algorithms / Logarithmic regret algorithms / /

URL

http /

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