Team tao

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
M. Jebalia.
Optimisation par Stratégies d'Évolution : Convergence et vitesses de convergence pour des fonctions bruitées - Résolution d'un problème d'identification, Ph. D. Thesis, Université Pierre et Marie Curie – École Polytecnique de Tunisie (cotutelle), 2008.

Articles in International Peer-Reviewed Journal

[2]
A. Auger, O. Teytaud.
Continuous Lunches are free plus the design of optimal optimization algorithms., in: Algorithmica, accepted, 2009.
[3]
A. Cornuéjols, M. Sebag.
A note on phase transition and computational pitfalls of learning from sequences, in: Journal of Intelligent Information Systems, 2008, vol. 31, no 2, p. 177-189.
[4]
N. Hansen, A. Niederberger, L. Guzzella, P. Koumoutsakos.
A Method for Handling Uncertainty in Evolutionary Optimization with an Application to Feedback Control of Combustion, in: IEEE Transactions on Evolutionary Computation, 2009
http://hal.inria.fr/inria-00276216/en/.
[5]
T. Suttorp, N. Hansen, C. Igel.
Efficient Covariance Matrix Update for Variable Metric Evolution Strategies, in: Machine Learning, 2009.
[6]
A. Termier, M.-C. Rousset, M. Sebag, K. Ohara, T. Washio, H. Motoda.
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm, in: IEEE Trans. on Knowledge and Data Engineering, March 2008, vol. 20, no 3, p. 300-320.

Articles in National Peer-Reviewed Journal

[7]
L. Chatriot, C. Fiter, G. Chaslot, S. Gelly, J.-B. Hoock, J. Perez, A. Rimmel, O. Teytaud.
Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo, in: Revue d'Intelligence Artificielle, 2008
http://hal.inria.fr/inria-00343509/en/.

Invited Conferences

[8]
P. Caillou, T. Baptista, C. Curchod.
Multi-agent Based simulation for Decision-Making: an application to Rungis food market, in: GDN 2008, Coimbra Portugal, J. P. C. Joao Climaco (editor), 2008, p. 193-194
http://hal.inria.fr/inria-00288111/en/.

International Peer-Reviewed Conference/Proceedings

[9]
A. Arbelaez, Y. Hamadi.
Exploiting Weak Dependencies in Tree-based Search, in: Proceedings of the 24th Annual ACM Symposium on Applied Computing, to appear, ACM Press, ACM, 2009.
[10]
A. Auger, J. Bader, D. Brockhoff, E. Zitzler.
Theory of the Hypervolume Indicator: Optimal $ \mu$ -Distributions and the Choice of the Reference Point, in: Foundations of Genetic Algorithms, accepted, ACM, 2009.
[11]
N. Bredeche, Y. Chevaleyre.
The Robot Swarm Re-localization Problem, in: Proceedings of the 5th IEEE International Conference on Robotics and Biomimetics (ROBIO 2008), 2009.
[12]
N. Bredeche.
A Multi-Cellular Developmental System in Continuous Space using Cell Migration, in: Simulation of Adaptive Behavior, Osaka Japon, M. Asada, et al. (editors), Lecture Notes in Computer Science, 2008, vol. 5040, p. 260-269
http://hal.inria.fr/inria-00288037/en/.
[13]
L. Da Costa, A. Fialho, M. Schoenauer, M. Sebag.
Adaptive Operator Selection with Dynamic Multi-Armed Bandits, in: Genetic and Evolutionary Computation Conference (GECCO), C. Ryan, et al. (editors), ACM Press, ACM, 2008, p. 913–920
http://hal.inria.fr/inria-00278542/en/.
[14]
A. Devert, N. Bredeche, M. Schoenauer.
Artificial Ontogeny for Truss Structure Design, in: Workshop on Spatial Computing (SCW) at the second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008.
[15]
A. Fialho, L. Da Costa, M. Schoenauer, M. Sebag.
Extreme Value Based Adaptive Operator Selection, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, Springer, 2008, p. 175–184
http://hal.inria.fr/inria-00287355/en/.
[16]
A. Fialho, L. Da Costa, M. Schoenauer, M. Sebag.
Dynamic Multi-Armed Bandits and Extreme Value-based Rewards for Adaptive Operator Selection in Evolutionary Algorithms, in: LION'09: Electronic Proceedings of the 3rd International Conference on Learning and Intelligent OptimizatioN (to appear), 2009.
[17]
S. Gelly, D. Silver.
Achieving Master Level Play in 9 x 9 Computer Go, in: AAAI, D. Fox, C. P. Gomes (editors), AAAI Press, 2008, p. 1537-1540.
[18]
S. Gelly, J.-B. Hoock, A. Rimmel, O. Teytaud, Y. Kalemkarian.
On the Parallelization of Monte-Carlo planning, in: Icinco, Madeira Portugal, 2008
http://hal.inria.fr/inria-00287867/en/.
[19]
C. Germain-Renaud, J. Perez, B. Kégl, C. Loomis.
Grid Differentiated Services: a Reinforcement Learning Approach, in: 8th IEEE International Symposium on Cluster Computing and the Grid, Lyon France, 2008
http://hal.inria.fr/inria-00287826/en/.
[20]
N. Hansen.
Adaptive Encoding: How to Render Search Coordinate System Invariant, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008, p. 205–214
http://hal.inria.fr/inria-00287351/en/.
[21]
N. Hansen, A. Niederberger, L. Guzzella, P. Koumoutsakos.
Evolutionary Optimization of Feedback Controllers for Thermoacoustic Instabilities, in: IUTAM Symposium on Flow Control and MEMS, London United Kingdom, 2008
http://hal.inria.fr/inria-00276217/en/.
[22]
M. Jebalia, A. Auger.
On multiplicative noise models for stochastic search, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008
http://hal.inria.fr/inria-00287725/en/.
[23]
F. Jiang, H. Berry, M. Schoenauer.
Supervised and Evolutionary Learning of Echo State Networks, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008
http://hal.inria.fr/inria-00337235/en/.
[24]
F. Jiang, H. Berry, M. Schoenauer.
Unsupervised Learning of Echo State Networks: Balancing the Double Pole, in: Genetic and Evolutionary Computation Conference (GECCO), C. Ryan, et al. (editors), 2008.
[25]
M. Nicolau, M. Schoenauer.
Evolving Scale-free Topologies Using a Gene Regulatory Network Model, in: IEEE Congress on Evolutionary Computation, 2008.
[26]
J. Perez, C. Germain-Renaud, B. Kégl, C. Loomis.
Utility-based Reinforcement Learning for Reactive Grids, in: The 5th IEEE International Conference on Autonomic Computing, Chicago États-Unis, 2008
http://hal.inria.fr/inria-00287354/en/.
[27]
R. Ros, N. Hansen.
A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008, p. 296-305
http://hal.inria.fr/inria-00287367/en/.
[28]
O. Teytaud.
When does quasi-random work ?, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008
http://hal.inria.fr/inria-00287863/en/.
[29]
O. Teytaud, H. Fournier.
Lower bounds for evolution strategies using VC-dimension, in: Parallel Problem Solving from Nature (PPSN'08), G. Rudolph, et al. (editors), LNCS, 2008
http://hal.inria.fr/inria-00287845/en/.
[30]
T. Voss, N. Hansen, C. Igel.
Recombination for Learning Strategy Parameters in the MO-CMA-ES, in: Fifth International Conference on Evolutionary Multi-Criterion Optimization (EMO 2009), accepted, Springer-Verlag, 2009.
[31]
X. Zhang, C. Furtlehner, M. Sebag.
Data Streaming with Affinity Propagation, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Antwerp Belgium, 2008
http://hal.inria.fr/inria-00289679/en/.

National Peer-Reviewed Conference/Proceedings

[32]
L. Chatriot, S. Gelly, J.-B. Hoock, J. Perez, A. Rimmel, O. Teytaud.
Introduction de connaissances expertes en Bandit-Based Monte-Carlo Planning avec application au Computer-Go, in: JFPDA, Metz France, 2008
http://hal.inria.fr/inria-00287883/en/.
[33]
L. Fedon, A. Cornuéjols.
Comment optimiser A? adaptatif ?, in: 16ème Reconnaissance des Formes et Intelligence Artificielle (RFIA'08) , Amiens France, 2008
http://hal.inria.fr/inria-00293136/fr/.
[34]
O. Teytaud.
On the almost optimality of blind active sampling., in: Conférence d'Apprentissage, Porquerolles France, F. d'Alché-Buc (editor), 2008
http://hal.inria.fr/inria-00287874/en/.
[35]
X. Zhang, C. Furtlehner, M. Sebag.
Frugal and Online Affinity Propagation, in: Conférence d'Apprentissage, F. d'Alché-Buc (editor), 2008
http://hal.inria.fr/inria-00287381/en/.
[36]
X. Zhang, M. Sebag, C. Germain-Renaud.
Le modelage des travaux d'un Système de Grille, in: 16ème Reconnaissance des Formes et Intelligence Artificielle (RFIA'08) , Amiens France, 2008
http://hal.inria.fr/inria-00287384/en/.

Workshops without Proceedings

[37]
J.-Y. Audibert, G. Chaslot, V. Danjean, C. Fiter, S. Gelly, T. Herault, J.-B. Hoock, R. Munos, A. Rimmel, M. Schoenauer, M. Sebag, O. Teytaud, Y. Wang, Z. Yu.
Parallel Monte-Carlo Tree-Search for the Game of Go, in: International Conference for High Performance Computing, Networking, Storage and Analysis (SC08), Poster, 2008.
[38]
J.-Y. Audibert, G. Chaslot, C. Fiter, S. Gelly, J.-B. Hoock, R. Munos, A. Rimmel, O. Teytaud, Y. Wang, Z. Yu.
Supercomputer Beats Pro, in: International Conference for High Performance Computing, Networking, Storage and Analysis (SC08), Poster, 2008.
[39]
P. Caillou, M. Sebag.
Modelling a Centralized Academic Labour Market: Efficiency and Fairness, in: Fifth European Conference on Complex Systems (ECCS'08), Jerusalem Israel, Complex Systems Society , 2008
http://hal.inria.fr/inria-00319072/en/.
[40]
C. Germain-Renaud, E. Vazquez, D. Colling.
Towards a statistical model of EGEE load, in: 3rd EGEE User Forum, Clermont-Ferrand France, EGEE-II project , 2008
http://hal.inria.fr/inria-00289568/en/.
[41]
J.-B. Hoock, A. Rimmel, O. Teytaud.
Algorithmique pour les jeux, le cas du Go et le reste, in: Talk for students, Clermont-Ferrand, Seminar, 2008.
[42]
J.-B. Hoock, A. Rimmel, O. Teytaud.
Bandits for Decisions in Uncertain Environments, in: Journées CMF, Labri, Bordeaux, Seminar, 2008.
[43]
J.-B. Hoock, A. Rimmel, O. Teytaud.
Fouille d'arbres par Monte-Carlo: les progrès en planification, in: Research seminar, Clermont-Ferrand, 2008.
[44]
M. Nicolau, M. Schoenauer.
Evolving Specific Network Statistical Properties using a Gene Regulatory Network Model, in: Fifth European Conference on Complex Systems (ECCS'08), Jerusalem Israel, Complex Systems Society , 2008.

Scientific Books (or Scientific Book chapters)

[45]
D. Fox, C. P. Gomes (editors)
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, AAAI Press, 2008.
[46]
M. Keijzer, G. Antoniol, C. B. Congdon, K. Deb, B. Doerr, N. Hansen, et al. (editors)
GECCO Genetic and Evolutionary Computation Conference, ACM Association for Computing Machinery, 2008.

Internal Reports

[47]
J. Bibai, M. Schoenauer, P. Savéant, V. Vidal.
Planification Evolutionnaire par Décomposition, Research Report, INRIA a CCSD electronic archive server based on P.A.O.L [http://hal.inria.fr/oai/oai.php] (France), 2008, no RT-0355
http://hal.inria.fr/inria-00322880/en/.
[48]
N. Hansen.
Adaptive Encoding for Optimization, Research Report, INRIA, 2008, no RR-6518
http://hal.inria.fr/inria-00275983/en/.
[49]
N. Hansen.
CMA-ES with Two-Point Step-Size Adaptation, Research Report, INRIA, 2008, no RR-6527
http://hal.inria.fr/inria-00276854/en/.
[50]
N. Hansen, R. Ros, N. Mauny, M. Schoenauer, A. Auger.
PSO Facing Non-Separable and Ill-Conditioned Problems, Research Report, INRIA, 2008, no RR-6447
http://hal.inria.fr/inria-00250078/en/.
[51]
R. Ros, N. Hansen.
A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity, Research Report, INRIA, 2008, no RR-6498
http://hal.inria.fr/inria-00270901/en/.

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