Kevin Leyton-Brown

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Soavtorji

Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaPreverjeni e-poštni naslov na cs.rwth-aachen.de
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyPreverjeni e-poštni naslov na cs.uni-freiburg.de
Yoav ShohamProfessor (emeritus)Preverjeni e-poštni naslov na cs.stanford.edu
Lin XuNETINT, University of British ColumbiaPreverjeni e-poštni naslov na cs.ubc.ca
James R. WrightUniversity of AlbertaPreverjeni e-poštni naslov na ualberta.ca
Jason HartfordDame Kathleen Ollerenshaw Fellow, University of Manchester; Research Scientist at Valence LabsPreverjeni e-poštni naslov na cs.ubc.ca
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchPreverjeni e-poštni naslov na harvard.edu
Yoav LevineAA-I TechnologiesPreverjeni e-poštni naslov na doubleai.com
Moshe TennenholtzPreverjeni e-poštni naslov na ie.technion.ac.il
David R. M. ThompsonGooglePreverjeni e-poštni naslov na google.com
Lars KotthoffUniversity of WyomingPreverjeni e-poštni naslov na uwyo.edu
Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemPreverjeni e-poštni naslov na cs.huji.ac.il
Ece KamarMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Ryan CaloUniversity of WashingtonPreverjeni e-poštni naslov na uw.edu
rodney brooksProfessor of Computer Science, MITPreverjeni e-poštni naslov na csail.mit.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityPreverjeni e-poštni naslov na eecs.harvard.edu
Oren EtzioniProfessor, University of WashingtonPreverjeni e-poštni naslov na cs.uw.edu
Julia HirschbergColumbia UniversityPreverjeni e-poštni naslov na cs.columbia.edu
Neil NewmanUniversity of British ColumbiaPreverjeni e-poštni naslov na cs.ubc.ca
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabPreverjeni e-poštni naslov na stanford.edu

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Kevin Leyton-Brown

Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair

Preverjeni e-poštni naslov na cs.ubc.ca - Domača stran

artificial intelligence machine learning game theory algorithms market design


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Multiagent systems: Algorithmic, game-theoretic, and logical foundations Y Shoham, K Leyton-Brown Cambridge University Press, 2009	3798	2009
Sequential model-based optimization for general algorithm configuration F Hutter, HH Hoos, K Leyton-Brown Proceedings of the 5th International Conference on Learning and Intelligent …, 2011	3376	2011
Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms C Thornton, F Hutter, HH Hoos, K Leyton-Brown Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	2116	2013
ParamILS: an automatic algorithm configuration framework F Hutter, HH Hoos, K Leyton-Brown, T Stützle Journal of Artificial Intelligence Research (JAIR) 36 (1), 267-306, 2009	1289	2009
Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... arXiv preprint arXiv:2211.06318, 2016	1254*	2016
SATzilla: Portfolio-based Algorithm Selection for SAT L Xu, F Hutter, HH Hoos, K Leyton-Brown Journal of Artificial Intelligence Research (JAIR) 32, 565-606, 2008	1179	2008
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown Journal of Machine Learning Research 18 (25), 1--5, 2017	990	2017
Incentives for sharing in peer-to-peer networks P Golle, K Leyton-Brown, I Mironov, M Lillibridge ACM Conference on Electronic Commerce, 75-87, 2001	871	2001
Essentials of Game Theory: A Concise Multidisciplinary Introduction K Leyton-Brown, Y Shoham Synthesis Lectures on Artificial Intelligence and Machine Learning, 1-88, 2008	854*	2008
Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches Y Fujishima, K Leyton-Brown, Y Shoham International Joint Conference on Artificial Intelligence (IJCAI) 99, 548-553, 1999	684	1999
An efficient approach for assessing hyperparameter importance F Hutter, H Hoos, K Leyton-Brown International Conference on Machine Learning, 2014	641	2014
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	586	2014
Towards a universal test suite for combinatorial auction algorithms K Leyton-Brown, M Pearson, Y Shoham Proceedings of the 2nd ACM conference on Electronic Commerce, 66-76, 2000	528	2000
Towards an empirical foundation for assessing Bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NIPS Workshop on Bayesian Optimization in Theory and Practice, 2013	473	2013
In-context retrieval-augmented language models O Ram, Y Levine, I Dalmedigos, D Muhlgay, A Shashua, K Leyton-Brown, ... Transactions of the Association for Computational Linguistics 11, 1316-1331, 2023	411	2023
Deep IV: A flexible approach for counterfactual prediction J Hartford, G Lewis, K Leyton-Brown, M Taddy International Conference on Machine Learning, 1414-1423, 2017	378	2017
ASlib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41–58, 2014	291	2014
Understanding random SAT: Beyond the clauses-to-variables ratio E Nudelman, K Leyton-Brown, H Hoos, A Devkar, Y Shoham Principles and Practice of Constraint Programming, 438-452, 2004	285	2004
Automated configuration of mixed integer programming solvers F Hutter, HH Hoos, K Leyton-Brown Integration of AI and OR Techniques in Constraint Programming for …, 2010	257	2010
Learning the empirical hardness of optimization problems: The case of combinatorial auctions K Leyton-Brown, E Nudelman, Y Shoham Principles and Practice of Constraint Programming-CP 2002: 8th International …, 2002	257	2002

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