Levente Kocsis

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 9

Top Topics

Top Venues

LocalRec@RecSys

Publications

Erzsébet Frigó, Levente Kocsis
Online convex combination of ranking models. User Model. User Adapt. Interact. 32 (4) (2022)
Erzsébet Frigó, Levente Kocsis
Online ranking combination. RecSys (2019)
András A. Benczúr, Levente Kocsis, Róbert Pálovics
Online Machine Learning in Big Data Streams. CoRR (2018)
Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys (2017)
Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. RecSys Posters (2017)
Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr
Location-aware online learning for top-k recommendation. Pervasive Mob. Comput. 38 (2017)
István Hegedüs, Árpád Berta, Levente Kocsis, András A. Benczúr, Márk Jelasity
Robust Decentralized Low-Rank Matrix Decomposition. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. RecSys Challenge (2015)
Róbert Pálovics, Peter Szalai, Levente Kocsis, Júlia Pap, Erzsébet Frigó, András A. Benczúr
Location-Aware Online Learning for Top-k Hashtag Recommendation. LocalRec@RecSys (2015)
Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó
Exploiting temporal influence in online recommendation. RecSys (2014)
István Hegedüs, Márk Jelasity, Levente Kocsis, András A. Benczúr
Fully distributed robust singular value decomposition. P2P (2014)
András György, Levente Kocsis
Efficient Multi-Start Strategies for Local Search Algorithms. CoRR (2014)
Levente Kocsis, András György, Andrea N. Bán
BoostingTree: parallel selection of weak learners in boosting, with application to ranking. Mach. Learn. 93 (2-3) (2013)
Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, Olivier Teytaud
The grand challenge of computer Go: Monte Carlo tree search and extensions. Commun. ACM 55 (3) (2012)
András György, Levente Kocsis
Efficient Multi-Start Strategies for Local Search Algorithms. J. Artif. Intell. Res. 41 (2011)
Levente Kocsis, András György
Efficient Multi-start Strategies for Local Search Algorithms. ECML/PKDD (1) (2009)
Benjamin E. Childs, James H. Brodeur, Levente Kocsis
Transpositions and move groups in Monte Carlo tree search. CIG (2008)
András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári
Continuous Time Associative Bandit Problems. IJCAI (2007)
Levente Kocsis, Csaba Szepesvári
Bandit Based Monte-Carlo Planning. ECML (2006)
Levente Kocsis, Csaba Szepesvári
Universal parameter optimisation in games based on SPSA. Mach. Learn. 63 (3) (2006)
Levente Kocsis, Csaba Szepesvári, Mark H. M. Winands
RSPSA: Enhanced Parameter Optimization in Games. ACG (2006)
Levente Kocsis, H. Jaap van den Herik, Jos W. H. M. Uiterwijk
Two Learning Algorithms for Forward Pruning. J. Int. Comput. Games Assoc. 26 (3) (2003)
Mark H. M. Winands, Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik
Learning in Lines of Action. GAME-ON (2002)
Levente Kocsis, Jos W. H. M. Uiterwijk, Eric O. Postma, H. Jaap van den Herik
The Neural MoveMap Heuristic in Chess. Computers and Games (2002)
Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik
Move Ordering Using Neural Networks. IEA/AIE (2001)
Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik
Learning Time Allocation Using Neural Networks. Computers and Games (2000)
Levente Kocsis, Nicolae B. Szirbik
An Unsupervised Training Connectionist Network with Lateral Inhibition. IEA/AIE (Vol. 2) (1998)