Nombre de documents

25

CV de Aurélien Bellet


Communication dans un congrès15 documents

  • Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability. Annual Conference on Neural Information Processing Systems (NIPS 2016), Dec 2016, Barcelone, Spain. <https://nips.cc/Conferences/2016>. <hal-01367546v2>
  • Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, et al.. A Comparison Between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. <http://www.icassp2016.org>. <hal-01329772>
  • Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. International Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States. <http://icml.cc/2016/>. <hal-01329315>
  • Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. Extending Gossip Algorithms to Distributed Estimation of U-statistics. Annual Conference on Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada. <https://nips.cc/Conferences/2015>. <hal-01214665>
  • Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk. Annual Conference on Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada. <https://nips.cc/Conferences/2015>. <hal-01214667>
  • Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha. A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SIAM International Conference on Data Mining (SDM 2015), Apr 2015, Vancouver, Canada. <http://www.siam.org/meetings/sdm15/>. <10.1137/1.9781611974010.54>. <hal-01430851>
  • Kuan Liu, Aurélien Bellet, Fei Sha. Similarity Learning for High-Dimensional Sparse Data. International Conference on Artificial Intelligence and Statistics (AISTATS 2015), May 2015, San Diego, United States. <http://www.aistats.org/aistats2015/>. <hal-01430854>
  • Stéphan Clémençon, Aurélien Bellet, Ons Jelassi, Guillaume Papa. Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques. INNS Conference on Big Data (INNS-BigData 2015), Aug 2015, San Francisco, United States. <http://innsbigdata.org/>. <hal-01430858>
  • Yuan Shi, Aurélien Bellet, Fei Sha. Sparse Compositional Metric Learning. AAAI Conference on Artificial Intelligence (AAAI 2014), Jul 2014, Quebec City, Canada. <https://www.aaai.org/Conferences/AAAI/aaai14.php>. <hal-01430847>
  • Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban. Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisins. Conférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France. 2013. <hal-00850241>
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Similarity Learning for Provably Accurate Sparse Linear Classification. International Conference on Machine Learning, Jun 2012, United Kingdom. 2012. <hal-00708401>
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Apprentissage de bonnes similarités pour la classification linéaire parcimonieuse. Laurent Bougrain. Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p., 2012. <hal-00690242>
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. Learning Good Edit Similarities with Generalization Guarantees. European Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203, 2011. <hal-00608631>
  • Aurélien Bellet, Amaury Habrard, Marc Sebban. An Experimental Study on Learning with Good Edit Similarity Functions. ICTAI 2011, Nov 2011, United States. 2011. <hal-00618706>
  • Aurélien Bellet, Marc Bernard, Thierry Murgue, Marc Sebban. Apprentissage de noyaux d'édition de séquences. Conférence d'Apprentissage : CAP 2009, May 2009, Hammamet, Tunisia. pp.à venir, 2009. <ujm-00378078>

Article dans une revue6 documents

Rapport1 document

  • Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi. Decentralized Collaborative Learning of Personalized Models over Networks. [Research Report] INRIA Lille. 2016. <hal-01383544>

Poster1 document

  • Pierre Dellenbach, Jan Ramon, Aurélien Bellet. A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data. NIPS 2016 workshop on Private Multi-Party Machine Learning, Dec 2016, Barcelone, Spain. <https://pmpml.github.io/PMPML16/>. <hal-01384148>

Thèse1 document

  • Aurélien Bellet. Supervised metric learning with generalization guarantees. Machine Learning [cs.LG]. Université Jean Monnet - Saint-Etienne, 2012. English. <NNT : 2012STET4003>. <tel-00770627v6>

Ouvrage (y compris édition critique et traduction)1 document