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personal data approved: 2015. IX. 14.
Personal data
Levente Kocsis
name Levente Kocsis
year of birth 1972
name of institution
doctoral school
ELTE Doctoral School of Informatics (Academic staff member)
Contact details
E-mail address kocsis.leventesztaki.mta.hu
phone number +36 1 279-6172
Academic title
scientific degree, title Ph.D.
year degree was obtained 2003
discipline to which degree belongs mathematics and computing
institution granting the degree Universiteit Maastricht, The Netherlands
Employment
2002 - MTA SZTAKI (research institute, not university)
other (not specified) (tudományos főmunkatárs)
Thesis topic supervisor
number of doctoral students supervised until now 0.5
number of students who fulfilled course requirements 0
students who obtained their degrees:
Research
research area General interest in Machine Learning, Stochastic Optimization, and Games, with focus on Reinforcement Learning, Learning to Rank, and Collaborative Filtering
research field in which current research is conducted computer sciences
Publications
2014

Hegedűs I, Jelasity M, Kocsis L, Benczúr A: Fully Distributed Robust Singular Value Decomposition, In: Szerk.: [S n ] 14th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P. Los Alamitos: IEEE Press, 2014. Paper 5. 9 p.
type of document: Part of book/Proceedings Paper
language: English
URL 
2014

Pálovics R, Benczúr A A, Kocsis L, Kiss T, Frigó E: Exploiting temporal influence in online recommendation, In: Szerk.: [S n ] Proceedings of the 8th ACM Conference on Recommender systems - RECSYS 2014. New York: ACM Press, 2014. pp. 273-280.
type of document: Part of book/Proceedings Paper
language: English
URL 
2013

Kocsis L, György A, N. Bán A: BoostingTree: parallel selection of weak learners in boosting, with application to ranking, MACHINE LEARNING 93: (2-3) pp. 293-320.
type of document: Journal paper/Article
language: English
URL 
2012

Gelly S, Kocsis L, Schoenauer M, Sebag M, Silver D, Szepesvári C, Teytaud O: The grand challenge of computer go: Monte Carlo tree search and extensions, COMMUNICATIONS OF THE ACM 55: (3) pp. 106-113.
type of document: Journal paper/Article
number of independent citations: 19
language: English
DOI 
2011

György A, Kocsis L: Efficient multi-start strategies for local search algorithms, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 41: pp. 407-444.
type of document: Journal paper/Article
number of independent citations: 3
language: English
2010

Kocsis L, György A: Fraud detection by generating positive samples for classification from unlabeled data, In: Proceedings of ICML Workshop on Machine Learning and Games.Haifa, Izrael, 2010.06.25 pp. 1-6. Kiadvány: 2010.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 1
language: English
Full text 
2009

Kocsis L, György A: Efficient multi-start strategies for local search algorithms., LECTURE NOTES IN COMPUTER SCIENCE 5781: pp. 705-720.
type of document: Journal paper/Article
number of independent citations: 1
language: English
2007

György A, Kocsis L, Szabó I, Szepesvári C: Continuous time associative bandit problems., In: ICJAI 2007. 20th international joint conference on artificial intelligence.Hyderabad, India, 2007 Hyderabad: IJCAI, pp. 830-835. Kiadvány: Hyderabad: IJCAI, 2007.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 2
language: English
2006

Kocsis L, Szepesvári C: Universal parameter Optimisation in games based on SPSA, MACHINE LEARNING 63: (3) pp. 249-286.
type of document: Journal paper/Article
number of independent citations: 8
language: English
2006

Kocsis L, Szepesvári C: Bandit based Monte-Carlo planning, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4212: pp. 282-293.
type of document: Journal paper/Article
number of independent citations: 444
language: English
Number of independent citations to these publications:478 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
13
number of scientific publications:
13
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
498

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2318 ( 2016. XI. 26. )