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Learning and Optimization (A&O)

Group Members
  Group leader
    SEBAG Michèle

  Faculty
    AUGER Anne
    CAILLOU Philippe
    CHARPIAT Guillaume
    DECELLE Aurélien
    FRANOVA Marta
    FURTLEHNER Cyril
    GERMAIN Cécile
    GUYON Isabelle
    HANSEN Nikolaus
    OLLIVIER Yann
    SCHOENAUER Marc
    SEBAG Michèle
    TEYTAUD Olivier
    TUBARO Paola
    VENTOS Véronique

  Non-permanent research staff
    BATU Berna
    BERGER Victor
    BOUZBIBA Yasmina
    BRAME Etienne
    CHANDORKAR Mandar
    DONNOT Benjamin
    DOQUET Guillaume
    ESTRADE Victor
    FISSORE Giancarlo
    GOUDET Olivier
    JAISWAL Raphaël
    KALAINATHAN Diviyan
    LIU Zhengying
    LOUISTISSERAND Felix
    MASSE Pierre-Yves
    MISHRA Sourava Prasad
    NABHAN Marc
    POL Adrian
    RAKOTOARISON Herilalaina
    SANCHEZ Théophile
    SCHMITT Thomas
    SUN Lisheng
    TALLEC Corentin
    WOLINSKI Pierre

  Visitors
    BATU Umut
    CHEVALLIER Sylvain
    GALVAN Edgar
    RAUBY Brice
    TOTH Martin

  Partners
    BENBOUZID Djalel
    D'ALCHE BUC Florence
    KÉGL Balázs
    PAUGAM-MOISY Hélène
    PEYRE Rémi
    RAFES Karima

  Interns
    POSADA GUTIERREZ Julian
    RICHARD Hugo
    TRITAS Aris

Research activities
  Numerical stochastic optimization
  Algorithm control and hyper-parameter tuning
  Optimal decision making under uncertainty
  New criteria design
  Large scale modelling

Joint Inria project teams
  TAO

Software & patents
  Django: theta-subsumption test for Relational Learning
  GUIDE: A Graphical User Interface for EA C++ library developpment
  Mash-WP6: A stochastic dynamic programming framework
  Contributions to the GNU Scientific Library: Contributions to the GNU Scientific Library
  SIMBAD: Simbad, A mobile robot simulator for Autonomous and Evolutionary Robotics
  Contribution to Scilab: Contribution to Scilab
  MoGo: Computer-Go program
  CMA-ES: Covariance Matrix Evolution Strategy
  COCO: Comparing Continuous Optimizers
  GridObservatory: Grid Observatory
  cTuning: public repository and tools for collaborative and statistical program and architecture characterization and optimization
  MultiBoost: MultiBoost
  Metis: Metis
  ACM-ES: Surrogate models for CMA-ES

Recent Ph.D. dissertations & faculty habilitations
  Bandits Manchots sur Flux de Données Non Stationnaires
  Uncertainties in Optimization
  .

Seminars
Causal Network Inference for Biology Workshop - Amphi Dig. Shannon
H. Isambert, O Goudet, L. Paulevé
27 February 2017 09h45


From Stochastic Search to Programming by Optimisation: My Quest for Automating the Design of High-Performance Algorithms
Holger H. Hoos
14 October 2014 14h30


Collective Mind Framework: systematizing and crowdsourcing multi-objective auto-tuning
Grigori Fursin
17 December 2013 14h30


Continuous MCTS for hydroelectric scheduling
Adrien Couëtoux
16 July 2013 14h30


Operator-valued kernel-based models for biological network inference
Florence d’Alché-Buc
4 June 2013 14h30


Sorting and Ranking: Two Unrelated Talks
Marco Bressan
23 April 2013 14h00


From Artificial Evolution to Computational Evolution
Wolfgang Banzhaf
25 February 2010 14h30


Partially Observable Markov Decision Processes : An overview
Alain Dutech
26 January 2010 14h30


Elementary Landscapes: On the semi-decomposibility of select NP-hard optimization problems
Darrell Whitley
15 September 2009 14h30


Kernel-based Methods for Detection
Zaid Harchaoui
24 March 2009 14h30


Résultats majeurs
MoGo: A program playing Go
1 August 2006
A program playing Go:
Winner of several International competition since 2006
Contributors:
Yizao Wang, Sylvain Gelly, Rémi Munos, Olivier Teytaud, Pierre-Arnaud Coquelin.

Software & patents