PASCAL - Pattern 
Analysis, Statistical Modelling and Computational Learning

PASCAL Network

Full NameOlivier Teytaud
TitleResearcher
SiteUniversité Paris Sud
StatusProspective Researcher
WWWwww.lri.fr/~teytaud/cv/cv.html

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Publications

Number of records: 54.

On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution Strategies Olivier Teytaud and fabien teytaud Conference or Workshop Item (2009)
A multi-objective multi-modal optimisation approach for mining stable spatio-temporal patterns Michele Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefevre and Sylvain Baillet Conference or Workshop Item (August 2005)
A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize Fabien Teytaud, Olivier Teytaud and Marc Schoenauer Conference or Workshop Item (2012)
A Statistical Learning Perspective of Genetic Programming Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly, Marc Schoenauer and Olivier Teytaud Book Section (2009)
A Statistical Learning Perspective of Genetic Programming Olivier Teytaud, Christian Gagné, Marc Schoenauer, Sylvain Gelly, Nicolas Bredeche and Nur Merve Amil Conference or Workshop Item (2009)
A Statistical Learning Theory Approach of Bloat Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche and Marc Schoenauer Conference or Workshop Item (2005)
A Statistical Learning Theory Approach of Bloat Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche and Marc Schoenauer Conference or Workshop Item Item not available online. (2005)
A Statistical Learning Theory Approach of Bloat Olivier Teytaud, Sylvain Gelly, Nicolas Bredeche and Marc Schoenauer Conference or Workshop Item (25 June 2005)
ACTIVE LEARNING IN REGRESSION, WITH APPLICATION TO STOCHASTIC DYNAMIC PROGRAMMING Olivier Teytaud, Sylvain Gelly and Jeremie Mary Conference or Workshop Item (2007)
Adaptive Noisy Optimization Philippe Rolet and Olivier Teytaud Article (2010)
Anytime many-armed bandits Olivier Teytaud, Sylvain Gelly and Michele Sebag Conference or Workshop Item (2007)
Application de l'apprentissage par renforcement a la gestion du risque Olivier Teytaud Article (2004)
Apprentissage statistique et programmation génétique : la croissance du code est-elle inévitable? Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche and Marc Schoenauer Conference or Workshop Item Item not available online. (2005)
Association rule interestingness: measure and statistical validation Olivier Teytaud, Stéphane Lallich and Elie Prudhomme Book Section (2006)
Bandit-based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis Philippe Rolet and Olivier Teytaud Article (2010)
Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parameters Sylvain Gelly and Olivier Teytaud Article (June 2005)
Boosting Active Learning to Optimality: A tractable Monte-Carlo based Approach. Olivier Teytaud, Michele Sebag and Philippe Rolet Conference or Workshop Item (2009)
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michele Sebag and Olivier Teytaud Article Item not available online. (2009)
Change Point Detection and meta-bandits for online learning in dynamic environments Cedric Hartland, Nicolas Baskiotis, Sylvain Gelly, Olivier Teytaud and Michele Sebag Article Item not available online. (2007)
Comparison-based algorithms are robust and randomized algorithms are anytime Olivier Teytaud, Sylvie Ruette and Sylvain Gelly Article (2007)
comparison-based algorithms are robust and randomized algorithms are anytime. Sylvie Ruette, Olivier Teytaud and Sylvain Gelly Article (2007)
Comparison-based algorithms: worst-case optimality, optimality w.r.t a bayesian prior, the intraclass-variance minimization in EDA, and implementations with billiards Sylvain Gelly, Sylvie Ruette and Olivier Teytaud Conference or Workshop Item (2006)
Conditioning, halting criteria and choosing lambda Olivier Teytaud Conference or Workshop Item (2007)
Continuous lunches are free Olivier Teytaud and Anne Auger Conference or Workshop Item (2007)
Continuous lunches are free plus the design of optimal optimization algorithms Anne Auger and Olivier Teytaud Article (2008)
Controle du risque multiple en selection de regles d'association E. Prudhomme, S. Lallich and Olivier Teytaud Article (2004)
Creating an Upper-Confidence-Tree program for Havannah Olivier Teytaud and Fabien Teytaud Conference or Workshop Item (2009)
DCMA, yet another derandomization in covariance matrix adaptation Olivier Teytaud and Justin Bedo Conference or Workshop Item (2007)
Estimation et controle des performances en généralisation des réseaux de neurones Yann Guermeur and Olivier Teytaud Book Section (2006)
Evaluation et validation des règles d'association Stephane Lallich and Olivier Teytaud Article (2004)
General lower bounds for evolutionary algorithms Olivier Teytaud and Sylvain Gelly Conference or Workshop Item (2006)
How entropy-theorems can show that approximating high-dim Pareto-fronts is too hard. Olivier Teytaud Conference or Workshop Item (2006)
Learning for stochastic dynamic programming Sylvain Gelly, Jeremie Mary and Olivier Teytaud Conference or Workshop Item (2006)
local and global oder 3/2 convergence of a surrogate evolutionary algorithm Anne Auger, Marc Schoenauer and Olivier Teytaud Conference or Workshop Item (2005)
NONLINEAR PROGRAMMING IN APPROXIMATE DYNAMIC PROGRAMMING: BANG-BANG SOLUTIONS, STOCK-MANAGEMENT AND UNSMOOTH PENALTIES Olivier Teytaud and Sylvain Gelly Conference or Workshop Item (2007)
On the adaptation of noise level for stochastic optimization Olivier Teytaud and Anne Auger Conference or Workshop Item (2007)
On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy Olivier Teytaud, Sylvain Gelly and Jeremie Mary Conference or Workshop Item (2006)
On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy Sylvain Gelly, Jeremie Mary and Olivier Teytaud Conference or Workshop Item (2006)
Optimal Estimation for Large-Eddy Simulation of Turbulence and application to the analysis of subgrid models Antoine Moreau, Olivier Teytaud and J.-P. Bertoglio Article (2006)
Optimal robust expensive optimization is tractable Philippe Rolet, Olivier Teytaud and Michele Sebag Article Item not available online. (2009)
Optimizing Low-Discrepancy Sequences with an Evolutionary Algorithm Francois-Michel De Rainville, Christian Gagné, Olivier Teytaud and Denis Laurendeau Conference or Workshop Item (2009)
Quasi-Random Resamplings, with aplications to rule Extraction, Cross-Validation and (su-)bagging Olivier Teytaud, Justin Bedo, Stéphane Lallich and Elie Prudhomme Conference or Workshop Item (2006)
Resource-Aware Parameterizations of EDA Sylvain Gelly, Olivier Teytaud and Christian Gagne Conference or Workshop Item (2006)
Slightly beyond Turing’s computability for studying genetic programming Olivier Teytaud Conference or Workshop Item (2007)
Statistical asymptotic and non-asymptotic consistency of bayesian networks : convergence to the right structure and consistent probability estimates Sylvain Gelly and Olivier Teytaud Conference or Workshop Item (2005)
Statistical inference and data mining: false discoveries control Stéphane Lallich, Olivier Teytaud and Elie Prudhomme Conference or Workshop Item (2006)
Taylor-based pseudo-metrics for random process fitting in dynamic programming : expected loss minimisation and risk management Sylvain Gelly, Jeremie Mary and Olivier Teytaud Conference or Workshop Item (July 2005)
The computational intelligence of MoGo revealed in Taiwan's computer-Go tournaments. Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu and Tzung-Pei Hong Article (2009)
The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions Sylvain Gelly, Marc Schoenauer, Michele Sebag, Olivier Teytaud, L. Kocsis, David Silver and Csaba Szepesvari Article Item not available online. (2012)
THE PARALLELIZATION OF MONTE-CARLO PLANNING Olivier Teytaud, jean baptiste, Sylvain Gelly, arpad rimmel and yann kalemkarian Conference or Workshop Item (2008)
Universal Consistency and Bloat in GP Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche and Marc Schoenauer Article (2006)
Universal Consistency and Bloat in GP : Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche and Marc Schoenauer Article (June 2005)
When does quasi-random work ? Olivier Teytaud Conference or Workshop Item (2008)
Why one must use reweighting in Estimation Of Distribution Algorithms Fabien Teytaud and Olivier Teytaud Conference or Workshop Item (2009)

This list was generated on Fri Oct 31 16:33:59 GMT 2014.