Kevin Leyton-Brown

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Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaEmail yang diverifikasi di cs.rwth-aachen.de
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyEmail yang diverifikasi di cs.uni-freiburg.de
Yoav ShohamProfessor (emeritus)Email yang diverifikasi di cs.stanford.edu
Lin XuNETINT, University of British ColumbiaEmail yang diverifikasi di cs.ubc.ca
James R. WrightUniversity of AlbertaEmail yang diverifikasi di ualberta.ca
Jason HartfordDame Kathleen Ollerenshaw Fellow, University of Manchester; Research Scientist at Valence LabsEmail yang diverifikasi di cs.ubc.ca
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchEmail yang diverifikasi di harvard.edu
Yoav LevineAA-I TechnologiesEmail yang diverifikasi di doubleai.com
Moshe TennenholtzEmail yang diverifikasi di ie.technion.ac.il
Amnon ShashuaProfessor of Computer Science, the Hebrew University of JerusalemEmail yang diverifikasi di cs.huji.ac.il
Lars KotthoffUniversity of WyomingEmail yang diverifikasi di uwyo.edu
David R. M. ThompsonGoogleEmail yang diverifikasi di google.com
Ori RamGoogleEmail yang diverifikasi di google.com
Ece KamarMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Ryan CaloUniversity of WashingtonEmail yang diverifikasi di uw.edu
rodney brooksProfessor of Computer Science, MITEmail yang diverifikasi di csail.mit.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityEmail yang diverifikasi di eecs.harvard.edu
Julia HirschbergColumbia UniversityEmail yang diverifikasi di cs.columbia.edu
Neil NewmanUniversity of British ColumbiaEmail yang diverifikasi di cs.ubc.ca
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabEmail yang diverifikasi di stanford.edu

Ikuti

Kevin Leyton-Brown

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

Email yang diverifikasi di cs.ubc.ca - Beranda

artificial intelligence machine learning game theory algorithms market design


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Multiagent systems: Algorithmic, game-theoretic, and logical foundations Y Shoham, K Leyton-Brown Cambridge University Press, 2009	3860	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	3440	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	2155	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	1311	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	1285*	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	1193	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	1010	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	873	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	867	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	685	1999
An efficient approach for assessing hyperparameter importance F Hutter, H Hoos, K Leyton-Brown International Conference on Machine Learning, 2014	662	2014
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	598	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	532	2000
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	478	2023
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	478	2013
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	393	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	308	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	290	2004
Hydra: Automatically configuring algorithms for portfolio-based selection L Xu, H Hoos, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 210-216, 2010	262	2010
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	262	2010

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