Edouard Pauwels – communications

Submitted papers

  • J.Sagnol, E.Pauwels. An unexpected connection between Bayes A-optimal designs and the Group Lasso. Submitted (2018). [Techreport]

  • E.Pauwels, M.Putinar, J.B.Lasserre. Spectral analysis of moment data. Submitted (2018). [Techreport]

  • J.Bolte, E.Pauwels, Z.Chen. The multiproximal linearization method for convex composite problems. Submitted (2017). [Techreport]

  • J.B. Lasserre, E.Pauwels. The empirical Christoffel function in Statistics and Machine Learning. Submitted (2017).[Techreport]

Conference proceedings

  • E.Pauwels, F.Bach, J.P.Vert. Relating Leverage Scores and Density using Regularized Christoffel Functions. Accepted at NIPS (2018). [Techreport]

  • J.B. Lasserre, E. Pauwels. Sorting out typicality with the inverse moment matrix SOS polynomial. NIPS 2016.[Techreport]

  • E. Pauwels, D. Henrion, J.-B. Lasserre. Inverse optimal control with polynomial optimization. IEEE Conference on Decision and Control, Los Angeles, December 2014. [pdf]

  • S. Mizutani, E. Pauwels, V. Stoven, S. Goto, and Y. Yamanishi. Relating drug-protein interaction network with drug side-effects. Bioinformatics (ECCB 2012), 28(18):i522-i528. [pdf]

  • Y. Tabei, E. Pauwels, V. Stoven, K. Takemoto, and Y. Yamanishi. Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers. Bioinformatics (ECCB 2012), 28(18):i487-i494. [pdf]

Journal papers

  • J.Bolte, A. Hochart, E.Pauwels. Qualification conditions in semi-algebraic programming. SIAM Journal on Optimization (2018). [Techreport]

  • T.P. Nguyen, E.Pauwels, E. Richard, B. Suter. Extragradient Method in Optimization: Convergence and Complexity. Journal of Optimization Theory and Applications (2017). [Techreport].

  • E.Pauwels, A. Beck, Y. C. Eldar, S. Sabach. On Fienup methods for regularized phase retrieval. IEEE transactions on signal processing (2017). [Techreport]

  • A. Beck, E. Pauwels, S. Sabach. Primal and dual predicted decrease approximation methods. Mathematical Programming (2017). [Link]

  • E. Pauwels. The value function approach to convergence analysis in composite optimization. Operation Research Letters (2016). [Techreport]

  • E. Pauwels, D. Henrion, J.-B. Lasserre Linear conic optimization for inverse optimal control. SIAM Journal on Control and Optimization (2016). [Techreport]

  • A. Beck, E. Pauwels, S. Sabach. The Cyclic Block Conditional Gradient Method for Convex Optimization Problems. SIAM journal on Optimization (2015). [Techreport]

  • J. Bolte, E.Pauwels. Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs. Mathematics of Operations Research (2016). [Techreport]

  • E. Pauwels, C. Lajaunie and J.P. Vert. A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Systems Biology, 2014 (in press). [pdf]

  • Y. Yamanishi, E. Pauwels, and M. Kotera. Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces. Journal of Chemical Information and Modeling. 2012 52 (12), 3284-3292.

  • E. Pauwels, D. Surdez, G. Stoll, A. Lescure, E. Del Nery, O. Delattre, V. Stoven. A Probabilistic Model for Cell Population Phenotyping Using HCS Data. PLoS ONE, 7(8):e42715, 2012. [pdf]

  • E. Pauwels, V. Stoven, and Y. Yamanishi. Predicting drug side-effect profiles: a chemical fragment-based approach. BMC Bioinformatics, 12:169, 2011. [pdf]

  • Y. Yamanishi, E. Pauwels, H. Saigo, and V. Stoven. Extracting sets of chemical substructures and protein domains governing drug-target interactions. Journal of Chemical Information and Modeling, 51 (5), pp 1183-1194, 2011.

Book chapters

  • E. Pauwels, D. Henrion, J.-B. Lasserre. Positivity certificates in optimal control. Submitted for inclusion as a contributed chapter in J.P. Laumond, N. Mansard, J.B. Lasserre (Editors), Geometric and Numerical Foundations of Movements, Springer Tracts in Advanced Robotics, (2017). [Techreport]

  • D. Henrion, E. Pauwels. Linear conic optimization for nonlinear optimal control. LAAS-CNRS Research Report, July 2014. Accepted for inclusion as a contributed chapter in S. Ahmed, M. Anjos, T. Terlaky (Editors). Advances and Trends in Optimization with Engineering Applications. MOS-SIAM series, SIAM, Philadelphia, 2016. [pdf]

Talks

  • The empirical Christoffel function with applications in Machine Learning

    • Zalando Research Seminar, April 2018, Berlin, Germany.

    • CNRS MASTODONS restitution session, February 2018, Paris, France.

  • Sequential convex programing, value function and convergence

    • Séminaire d'analyse non linéaire et d'optimisation, May 2018, Avignon, France.

    • ENSEEIHT, October 2017, Toulouse, France

    • ICCOPT 2016, August 2016, Tokyo, Japan.

    • Séminaire Parisien d'Optimisation, June 2016, IHP, Paris, France.

    • Journées SMAI-MODE, Mars 2016, ENSEEIHT, Toulouse, France.

  • Block conditional gradient algorithms

    • MIA-T seminar, Sep. 23 2016, INRA Toulouse, France.

  • Sorting out typicality with the inverse moment matrix SOS polynomial

    • LAAS CNRS, June 2016, Toulouse, France.

  • Linear conic optimization for inverse optimal control.

    • Wokshop on Geometric and Numerical Foundations of Movements, Nov. 20 2015. LAAS-CNRS, Toulouse, France.

  • Non-linear programming with semi-algebraic data: convergence beyond the proximal decomposition setting.

    • SPOT seminar, September 2015, Toulouse France

    • International Symposium on Optimization, July 2015, Pittsburgh USA.

    • Nonlinear Analysis and Optimization seminar, Jan. 18 2015, Mathematics Faculty, Technion, Haifa, Israel.

  • A Bayesian active learning strategy for sequential experimental design in systems biology.

    • MIA-T seminar, Feb. 14 2014, INRA Toulouse, France.

  • Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers.

    • ECCB 2012, Basle, Switzerland.

  • Modeling cell populations in high content screening using copulas.

    • Poster, NIPS 2011 Workshop on Copulas in Machine Learning, Grenada, Spain.

  • Mixture models for cell population phenotyping.

    • 2nd Workshop on Bioinformatics for Medical and Pharmaceutical Research, 2011, Institut Curie, France

  • Analyse statistique de liens entre les espaces moleculaires et phenotypiques.

    • Seminaire maths et systemes, January 2011, Mines ParisTech, France.