Balázs Kégl
Affiliations:- University of Paris-Saclay, Center for Data Science
- University of Paris-Sud, Linear Accelerator Laboratory (LAL)
- University of Montreal, Department of Computer Science
According to our database1,
Balázs Kégl
authored at least 68 papers
between 1998 and 2024.
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Bibliography
2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning.
CoRR, 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning.
CoRR, 2024
2023
CoRR, 2023
2022
Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery.
NeuroImage, 2022
CoRR, 2022
2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the European Conference on Optical Communication, 2021
2020
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers Big Data, 2020
2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification.
CoRR, 2019
2018
Mach. Learn., 2018
2017
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy.
CoRR, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Proceedings of the Seventh International Conference on Computational Creativity, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014
Open Problem: A (missing) boosting-type convergence result for AdaBoost.MH with factorized multi-class classifiers.
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers.
Mach. Learn., 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012
2011
Proceedings of the Yahoo! Learning to Rank Challenge, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Contributions to machine learning: the unsupervised, the supervised, and the Bayesian.
, 2011
2010
Pattern Recognit., 2010
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009
Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Proceedings of the 2008 International Conference on Autonomic Computing, 2008
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Proceedings of the IEEE International Conference on Systems, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006
2005
Proceedings of the ISMIR 2005, 2005
Proceedings of the 2005 International Computer Music Conference, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
IEEE Trans. Pattern Anal. Mach. Intell., 2002
J. Mach. Learn. Res., 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the 17th IEEE International Conference on Automated Software Engineering (ASE 2002), 2002
Proceedings of the 18th International Conference on Software Maintenance (ICSM 2002), 2002
2001
Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach.
Int. J. Syst. Sci., 2001
Proceedings of the Computational Learning Theory, 2001
Proceedings of the 40th IEEE Conference on Decision and Control, 2001
2000
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Radial basis function networks in nonparametric classification and function learning.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998