2009 |
39 | EE | Nur Merve Amil,
Nicolas Bredeche,
Christian Gagné,
Sylvain Gelly,
Marc Schoenauer,
Olivier Teytaud:
A Statistical Learning Perspective of Genetic Programming.
EuroGP 2009: 327-338 |
38 | EE | Pierre Audouard,
Guillaume Chaslot,
Jean-Baptiste Hoock,
Julien Perez,
Arpad Rimmel,
Olivier Teytaud:
Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go.
EvoWorkshops 2009: 323-332 |
37 | EE | Fabien Teytaud,
Olivier Teytaud:
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies.
EvoWorkshops 2009: 655-664 |
2008 |
36 | EE | Olivier Teytaud,
Hervé Fournier:
Lower Bounds for Evolution Strategies Using VC-Dimension.
PPSN 2008: 102-111 |
35 | EE | Olivier Teytaud:
When Does Quasi-random Work?.
PPSN 2008: 325-336 |
2007 |
34 | EE | Olivier Teytaud:
Conditioning, Halting Criteria and Choosing lambda.
Artificial Evolution 2007: 196-206 |
33 | EE | Anne Auger,
Olivier Teytaud:
Continuous lunches are free!
GECCO 2007: 916-922 |
32 | EE | Olivier Teytaud,
Sylvain Gelly:
DCMA: yet another derandomization in covariance-matrix-adaptation.
GECCO 2007: 955-963 |
31 | | Olivier Teytaud,
Sylvain Gelly,
Jérémie Mary:
Active learning in regression, with application to stochastic dynamic programming.
ICINCO-ICSO 2007: 198-205 |
30 | | Olivier Teytaud,
Sylvain Gelly:
Nonlinear programming in approximate dynamic programming - bang-bang solutions, stock-management and unsmooth penalties.
ICINCO-ICSO 2007: 47-54 |
29 | EE | Olivier Teytaud,
Anne Auger:
On the adaptation of noise level for stochastic optimization.
IEEE Congress on Evolutionary Computation 2007: 3027-3034 |
28 | EE | Olivier Teytaud:
Slightly Beyond Turing's Computability for Studying Genetic Programming.
MCU 2007: 279-290 |
27 | EE | Stéphane Lallich,
Olivier Teytaud,
Elie Prudhomme:
Association Rule Interestingness: Measure and Statistical Validation.
Quality Measures in Data Mining 2007: 251-275 |
26 | EE | Sylvain Gelly,
Sylvie Ruette,
Olivier Teytaud:
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime.
Evolutionary Computation 15(4): 411-434 (2007) |
25 | EE | Olivier Teytaud:
On the Hardness of Offline Multi-objective Optimization.
Evolutionary Computation 15(4): 475-491 (2007) |
2006 |
24 | EE | Sylvain Gelly,
Jérémie Mary,
Olivier Teytaud:
Learning for stochastic dynamic programming.
ESANN 2006: 191-196 |
23 | EE | Olivier Teytaud,
Sylvain Gelly:
General Lower Bounds for Evolutionary Algorithms.
PPSN 2006: 21-31 |
22 | EE | Olivier Teytaud,
Sylvain Gelly,
Jérémie Mary:
On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy.
PPSN 2006: 32-41 |
21 | EE | Antoine Moreau,
Olivier Teytaud,
Jean-Pierre Bertoglio:
Optimal estimation for Large-Eddy Simulation of turbulence and application to the analysis of subgrid models
CoRR abs/physics/0606053: (2006) |
20 | EE | Sylvain Gelly,
Olivier Teytaud:
Bayesian Networks: a Non-Frequentist Approach for Parametrization, and a more Accurate Structural Complexity Measure Bayesian Networks Learning.
Revue d'Intelligence Artificielle 20(6): 717-755 (2006) |
19 | EE | Sylvain Gelly,
Olivier Teytaud,
Nicolas Bredeche,
Marc Schoenauer:
Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint.
Revue d'Intelligence Artificielle 20(6): 805-827 (2006) |
2005 |
18 | EE | Anne Auger,
Mohamed Jebalia,
Olivier Teytaud:
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies.
Artificial Evolution 2005: 296-307 |
17 | | Nicolas Baskiotis,
Michèle Sebag,
Olivier Teytaud:
Systèmes inductifs-déductifs: une approche statistique.
CAP 2005: 145-146 |
16 | | Sylvain Gelly,
Olivier Teytaud:
Statistical asymptotic and non-asymptotic consistency of bayesian networks: convergence to the right structure and consistent probability estimates.
CAP 2005: 147-162 |
15 | | Sylvain Gelly,
Olivier Teytaud,
Nicolas Bredeche,
Marc Schoenauer:
Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable?
CAP 2005: 163-178 |
14 | | Sylvain Gelly,
Jérémie Mary,
Olivier Teytaud:
Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management.
CAP 2005: 183-184 |
13 | | Nicolas Tarrisson,
Michèle Sebag,
Olivier Teytaud,
Julien Lefevre,
Sylvain Baillet:
Multi-objective Multi-modal Optimization for Mining Spatio-temporal Patterns.
CAP 2005: 217-230 |
12 | EE | Sylvain Gelly,
Olivier Teytaud,
Nicolas Bredeche,
Marc Schoenauer:
A statistical learning theory approach of bloat.
GECCO 2005: 1783-1784 |
11 | EE | Anne Auger,
Marc Schoenauer,
Olivier Teytaud:
Local and global order 3/2 convergence of a surrogate evolutionary algorithm.
GECCO 2005: 857-864 |
10 | EE | Michèle Sebag,
Nicolas Tarrisson,
Olivier Teytaud,
Julien Lefevre,
Sylvain Baillet:
A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns.
IJCAI 2005: 859-864 |
9 | EE | Frédéric Flin,
Jean-Bruno Brzoska,
David Coeurjolly,
Romeu André Pieritz,
Bernard Lesaffre,
Cécile Coleou,
Pascal Lamboley,
Olivier Teytaud,
Gérard Vignoles,
Jean-François Delesse:
Adaptive estimation of normals and surface area for discrete 3-D objects: application to snow binary data from X-ray tomography.
IEEE Transactions on Image Processing 14(5): 585-596 (2005) |
2004 |
8 | | Stéphane Lallich,
Elie Prudhomme,
Olivier Teytaud:
Contrôle du risque multiple pour la sélection de règles d'association significatives.
EGC 2004: 305-316 |
2002 |
7 | EE | Gérald Gavin,
Olivier Teytaud:
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error.
ICANN 2002: 583-588 |
6 | EE | David Coeurjolly,
Frédéric Flin,
Olivier Teytaud,
Laure Tougne:
Multigrid Convergence and Surface Area Estimation.
Theoretical Foundations of Computer Vision 2002: 101-119 |
2001 |
5 | | Radwan Jalam,
Olivier Teytaud:
Identification de la langue et catégorisation de textes basées sur les N-grammes.
EGC 2001: 227-238 |
4 | EE | Olivier Teytaud,
Hélène Paugam-Moisy:
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms.
ICANN 2001: 265-270 |
3 | EE | Olivier Teytaud,
David Sarrut:
Kernel Based Image Classification.
ICANN 2001: 369-375 |
2 | EE | Olivier Teytaud:
Decidability of the halting problem for Matiyasevich deterministic machines.
Theor. Comput. Sci. 257(1-2): 241-251 (2001) |
2000 |
1 | EE | David Coeurjolly,
Isabelle Debled-Rennesson,
Olivier Teytaud:
Segmentation and Length Estimation of 3D Discrete Curves.
Digital and Image Geometry 2000: 299-317 |