Nombre de documents

18

CV de Alexandre D'Aspremont


Article dans une revue8 documents

  • Fajwel Fogel, Alexandre D'Aspremont, Milan Vojnovic. Spectral Ranking using Seriation. Journal of Machine Learning Research, Journal of Machine Learning Research, 2016, 17, pp.1-45. <hal-01384679>
  • Fajwel Fogel, Irène Waldspurger, Alexandre D'Aspremont. Phase retrieval for imaging problems. Mathematical Programming Computations, 2016, 8 (3), pp.311-335. <hal-00907529>
  • Matthew H. Seaberg, Alexandre D'Aspremont, Joshua J. Turner. Coherent Diffractive Imaging Using Randomly Coded Masks. Applied Physics Letters, American Institute of Physics, 2015, 107 (23), pp.231103. <hal-01239315>
  • Irène Waldspurger, Alexandre D'Aspremont, Stéphane Mallat. Phase Recovery, MaxCut and Complex Semidefinite Programming. Mathematical Programming, Series A, Springer, 2015, 149 (1-2), pp.47-81. <10.1007/s10107-013-0738-9 >. <hal-00907535>
  • Alexandre D'Aspremont, Noureddine El Karoui. A Stochastic Smoothing Algorithm for Semidefinite Programming. SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2014, 24 (3), pp.1138-1177. <hal-00907530>
  • Alexandre D'Aspremont, Francis Bach, Laurent El Ghaoui. Approximation Bounds for Sparse Principal Component Analysis. Mathematical Programming B, Springer, 2014, 148 (1-2), pp.89-110. <hal-00907531>
  • Alexandre D'Aspremont, Noureddine El Karoui. Weak Recovery Conditions from Graph Partitioning Bounds and Order Statistics. Mathematics of Operations Research, INFORMS, 2013, 38 (2), http://pubsonline.informs.org/doi/abs/10.1287/moor.1120.0581. <hal-00907541>
  • Alexandre D'Aspremont. Subsampling Algorithms for Semidefinite Programming. Stochastic Systems, 2011, 1 (2), http://www.i-journals.org/ssy/viewarticle.php?id=18&layout=abstract. <hal-00907539>

Pré-publication, Document de travail6 documents

  • Antoine Recanati, Thomas Brüls, Alexandre D'Aspremont. A spectral algorithm for fast de novo layout of uncorrected long nanopore reads. 2016. <hal-01384684>
  • Vincent Roulet, Fajwel Fogel, Alexandre D'Aspremont, Francis Bach. Learning with Clustering Structure. 2016. <hal-01239305>
  • Damien Scieur, Alexandre D'Aspremont, Francis Bach. Regularized Nonlinear Acceleration. 2016. <hal-01384682>
  • Vincent Roulet, Nicolas Boumal, Alexandre D'Aspremont. Renegar's Condition Number and Compressed Sensing Performance. 2015. <hal-01239310>
  • Kevin Vervier, Pierre Mahé, Alexandre D'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert. On learning matrices with orthogonal columns or disjoint supports. 16 pages. 2014. <hal-00985654v2>
  • Alexandre D'Aspremont, Cristóbal Guzmán, Martin Jaggi. An Optimal Affine Invariant Smooth Minimization Algorithm. 2013. <hal-00907547>

Communication dans un congrès4 documents

  • Kevin Vervier, Pierre Mahé, Alexandre D'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert. On learning matrices with orthogonal columns or disjoint supports. T. Calder et al. European Conference, ECML PKDD 2014, Sep 2014, Nancy, France. LNCS 8726, pp.274-289, 2014, Machine Learning and Knowledge Discovery in Databases. <10.1007/978-3-662-44845-8_18>. <hal-01101875>
  • Fajwel Fogel, Alexandre D'Aspremont, Milan Vojnovic. Spectral Ranking using Seriation. Neural Information Processing Systems (NIPS), Dec 2014, Montréal, Canada. <hal-01092658>
  • Marco Cuturi, Alexandre D'Aspremont. Mean Reversion with a Variance Threshold. International Conference on Machine Learning, Jun 2013, United States. pp.271-279, 2013. <hal-00939566>
  • Fajwel Fogel, Rodolphe Jenatton, Francis Bach, Alexandre D'Aspremont. Convex Relaxations for Permutation Problems. Neural Information Processing Systems (NIPS) 2013, Dec 2013, United States. http://nips.cc/Conferences/2013/Program/speaker-info.php?ID=12863, 2013. <hal-00907528>