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pro vyhledávání: '"Kevin Leyton-Brown"'
Autor:
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/bdbe429d5b1441bba5613bb9742f8b3c
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1362-1370
Stackelberg security games form the backbone of systems like ARMOR, IRIS and PROTECT, which are in regular use by the Los Angeles International Police, US Federal Air Marshal Service and the US Coast Guard respectively. An understanding of the runtim
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency.
Publikováno v:
AAAI
Strangely enough, it is possible to use machine learning models to predict the satisfiability status of hard SAT problems with accuracy considerably higher than random guessing. Existing methods have relied on extensive, manual feature engineering an
Publikováno v:
Artificial Intelligence. 275:618-638
In many settings, an effective way of evaluating objects of interest is to collect evaluations from dispersed individuals and to aggregate these evaluations together. Some examples are categorizing online content and evaluating student assignments vi
Autor:
Kevin Leyton-Brown, James R. Wright
Publikováno v:
Journal of Artificial Intelligence Research. 64:357-383
Behavioral game theory seeks to describe the way actual people (as compared to idealized, "rational" agents) act in strategic situations. Our own recent work has identified iterative models, such as quantal cognitive hierarchy, as the state of the ar
Autor:
Sasha Javid, Rudy K. Sultana, Paul Salasznyk, Melissa Dunford, Evan Kwerel, Jean L. Kiddoo, Brian B. Smith, Steven Charbonneau, Ilya Segal, James A. Costa, Charles E. Meisch, Michael A. Trick, Alexandre Fréchette, Karla Hoffman, Anthony B. Coudert, Dinesh Menon, Kevin Leyton-Brown, Neil Newman, Gary M. Epstein
Publikováno v:
INFORMS Journal on Applied Analytics. 49:7-22
The authors describe a market-based two-stage auction that the FCC, with assistance from researchers from universities and consulting firms, developed. The two-sided auction repurposed 84 MHz of spectrum from conventional over-the-air TV to wireless
This chapter provides an introduction to the automated configuration and selection of SAT algorithms and gives an overview of the most prominent approaches. Since the early 2000s, these so-called meta-algorithmic approaches have played a major role i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b8f2d39f6d91e27fa5d9af1656ba2fb
https://doi.org/10.3233/faia200995
https://doi.org/10.3233/faia200995
Publikováno v:
EC
Over 13 months in 2016-17 the US Federal Communications Commission (FCC) conducted an "incentive auction" to repurpose radio spectrum from broadcast television to wireless internet. The result of the auction was to remove 14 UHF-TV channels from broa
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)
Publikováno v:
IJCAI
In many settings, an effective way of evaluating objects of interest is to collect evaluations from dispersed individuals and to aggregate these evaluations together. Some examples are categorizing online content and evaluating student assignments vi