Levente Kocsis

According to our database, Levente Kocsis authored at least 29 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Online convex combination of ranking models.

Erzsébet Frigó, Levente Kocsis

User Model. User Adapt. Interact., 2022

2019

Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Recommender Systems Over Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning in Big Data Streams: Overview.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning Algorithms over Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online ranking combination.

Erzsébet Frigó, Levente Kocsis

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Online Machine Learning in Big Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

CoRR, 2018

2017

Location-aware online learning for top-k recommendation.

Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr

Pervasive Mob. Comput., 2017

Online Ranking Prediction in Non-stationary Environments.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2016

Robust Decentralized Low-Rank Matrix Decomposition.

István Hegedüs, Árpád Berta, Levente Kocsis, András A. Benczúr, Márk Jelasity

ACM Trans. Intell. Syst. Technol., 2016

2015

Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization.

Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Location-Aware Online Learning for Top-k Hashtag Recommendation.

Róbert Pálovics, Peter Szalai, Levente Kocsis, Júlia Pap, Erzsébet Frigó, András A. Benczúr

Proceedings of the Workshop on Location-Aware Recommendations, 2015

2014

Exploiting temporal influence in online recommendation.

Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Fully distributed robust singular value decomposition.

István Hegedüs, Márk Jelasity, Levente Kocsis, András A. Benczúr

Proceedings of the 14th IEEE International Conference on Peer-to-Peer Computing, 2014

2013

BoostingTree: parallel selection of weak learners in boosting, with application to ranking.

Levente Kocsis, András György, Andrea N. Bán

Mach. Learn., 2013

2012

The grand challenge of computer Go: Monte Carlo tree search and extensions.

Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, Olivier Teytaud

Commun. ACM, 2012

2011

Efficient Multi-Start Strategies for Local Search Algorithms.

András György, Levente Kocsis

J. Artif. Intell. Res., 2011

2008

Transpositions and move groups in Monte Carlo tree search.

Benjamin E. Childs, James H. Brodeur, Levente Kocsis

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007

Continuous Time Associative Bandit Problems.

András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári

Proceedings of the IJCAI 2007, 2007

2006

Universal parameter optimisation in games based on SPSA.

Levente Kocsis, Csaba Szepesvári

Mach. Learn., 2006

Bandit Based Monte-Carlo Planning.

Levente Kocsis, Csaba Szepesvári

Proceedings of the Machine Learning: ECML 2006, 2006

RSPSA: Enhanced Parameter Optimization in Games.

Levente Kocsis, Csaba Szepesvári, Mark H. M. Winands

Proceedings of the Advances in Computer Games, 11th International Conference, 2006

2003

Two Learning Algorithms for Forward Pruning.

Levente Kocsis, H. Jaap van den Herik, Jos W. H. M. Uiterwijk

J. Int. Comput. Games Assoc., 2003

2002

Learning in Lines of Action.

Mark H. M. Winands, Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Proceedings of the 3rd International Conference on Intelligent Games and Simulation (GAME-ON 2002), 2002

The Neural MoveMap Heuristic in Chess.

Levente Kocsis, Jos W. H. M. Uiterwijk, Eric O. Postma, H. Jaap van den Herik

Proceedings of the Computers and Games, Third International Conference, CG 2002, Edmonton, 2002

2001

Move Ordering Using Neural Networks.

Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Proceedings of the Engineering of Intelligent Systems, 2001

2000

Learning Time Allocation Using Neural Networks.

Levente Kocsis, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Proceedings of the Computers and Games, Second International Conference, 2000

1998

An Unsupervised Training Connectionist Network with Lateral Inhibition.

Levente Kocsis, Nicolae B. Szirbik

Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998