Follow
Michele Sebag
Michele Sebag
Senior Researcher
Verified email at lri.fr - Homepage
Title
Cited by
Cited by
Year
Collaborative hyperparameter tuning
R Bardenet, M Brendel, B Kégl, M Sebag
International conference on machine learning, 199-207, 2013
3442013
Extending population-based incremental learning to continuous search spaces
M Sebag, A Ducoulombier
International Conference on Parallel Problem Solving from Nature, 418-427, 1998
3191998
The grand challenge of computer Go: Monte Carlo tree search and extensions
S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ...
Communications of the ACM 55 (3), 106-113, 2012
2842012
Treefinder: a first step towards xml data mining
A Termier, MC Rousset, M Sebag
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 450-457, 2002
2832002
Adaptive operator selection with dynamic multi-armed bandits
L DaCosta, A Fialho, M Schoenauer, M Sebag
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
1682008
Analyzing bandit-based adaptive operator selection mechanisms
A Fialho, L Da Costa, M Schoenauer, M Sebag
Annals of Mathematics and Artificial Intelligence 60 (1), 25-64, 2010
1532010
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III
JL Balcázar, F Bonchi, A Gionis, M Sebag
Springer, 2010
1312010
BenchNN: On the broad potential application scope of hardware neural network accelerators
T Chen, Y Chen, M Duranton, Q Guo, A Hashmi, M Lipasti, A Nere, S Qiu, ...
2012 IEEE International Symposium on Workload Characterization (IISWC), 36-45, 2012
1282012
Extreme value based adaptive operator selection
Á Fialho, L Da Costa, M Schoenauer, M Sebag
International Conference on Parallel Problem Solving from Nature, 175-184, 2008
1242008
April: Active preference learning-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
1232012
Preference-based policy learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
1152011
Data streaming with affinity propagation
X Zhang, C Furtlehner, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
1132008
Exploration vs exploitation vs safety: Risk-aware multi-armed bandits
N Galichet, M Sebag, O Teytaud
Asian Conference on Machine Learning, 245-260, 2013
1122013
Multi-armed bandit, dynamic environments and meta-bandits
C Hartland, S Gelly, N Baskiotis, O Teytaud, M Sebag
1112006
Compact unstructured representations for evolutionary design
H Hamda, F Jouve, E Lutton, M Schoenauer, MČ Sebag
Applied intelligence 16 (2), 139-155, 2002
1082002
Feature selection as a one-player game
R Gaudel, M Sebag
International Conference on Machine Learning, 359--366, 2010
1012010
Data stream clustering with affinity propagation
X Zhang, C Furtlehner, C Germain-Renaud, M Sebag
IEEE Transactions on Knowledge and Data Engineering 26 (7), 1644-1656, 2013
992013
Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy
I Loshchilov, M Schoenauer, M Sebag
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
962012
Learning functional causal models with generative neural networks
O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag
Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018
952018
DRYADE: a new approach for discovering closed frequent trees in heterogeneous tree databases
A Termier, MC Rousset, M Sebag
Fourth IEEE International Conference on Data Mining (ICDM'04), 543-546, 2004
942004
The system can't perform the operation now. Try again later.
Articles 1–20