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	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 56 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM
	hal-01250215v1 Communication dans un congrès Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski, Dmitry Ostrovsky. Adaptive Recovery of Signals by Convex Optimization JMLR Workshop and Conference Proceedings, Jul 2015, Paris, France. Proceedings of The 28th Conference on Learning Theory (40), 2015, <http://www.learningtheory.org/colt2015/>
	hal-00976864v1 Article dans une revue Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski. Randomized first order algorithms with applications to ℓ 1-minimization Mathematical Programming, Series A, Springer, 2013, 142 (1-2), pp.269-310. <10.1007/s10107-012-0575-2>
	hal-00978358v1 Article dans une revue Bruce Cox, Anatoli Juditsky, Arkadii S. Nemirovski. Dual subgradient algorithms for large-scale nonsmooth learning problems Mathematical Programming B, Springer, 2014, 148 (1), pp.143-180. <10.1007/s10107-013-0725-1>
	hal-00978374v1 Pré-publication, Document de travail Alexander Goldenshluger, Anatoli Juditsky, Arkadii S. Nemirovski. Hypothesis testing by convex optimization 2013
	hal-00978362v1 Pré-publication, Document de travail Anatoli Juditsky, Arkadii S. Nemirovski. On Detecting Harmonic Oscillations 28 pages, 1 figure. 2013
	hal-00978368v1 Article dans une revue Zaid Harchaoui, Anatoli Juditsky, Arkadii S. Nemirovski. Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization Mathematical Programming, Series A, Springer, 2015, 152 (1), pp.75-112. <10.1007/s10107-014-0778-9>
	hal-00318071v1 Pré-publication, Document de travail Anatoli Juditsky, Arkadii S. Nemirovski. Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces 2008
	hal-00978268v1 Article dans une revue Anatoli Juditsky, Fatma Kılınç Karzan, Arkadii S. Nemirovski. On unified view of nullspace-type conditions for recoveries associated with general sparsity structures Linear Algebra and its Applications, Elsevier, 2014, 441, pp.124-151. <10.1016/j.laa.2013.07.025>
	hal-00318043v2 Article dans une revue Anatoli Juditsky, Arkadii S. Nemirovski, Claire Tauvel. Solving variational inequalities with Stochastic Mirror-Prox algorithm Stochastic Systems, 2011, 1 (1), pp.17-58. <10.1214/10-SSY011>
	hal-00853920v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski. Nonparametric estimation by convex optimization Rencontres de Statistiques Mathématiques, Dec 2007, Luminy, France. 2007
	hal-00853893v1 Communication dans un congrès Anatoli Juditsky, Lennart Ljung, Alexander Nazin, Arkadii S. Nemirovski. Minimax Confidence Intervals for Pointwize Nonparametric Regression Estimation SYSID 2009 - 15th IFAC Symposium on System Identification, Jul 2009, Saint-Malo, France
	hal-00853911v1 Rapport Anatoli Juditsky, Guanghui Lan, Arkadii S. Nemirovski, Alexander Shapiro. Stochastic Approximation approach to Stochastic Programming 2013
	hal-01345960v1 Pré-publication, Document de travail Dmitry Ostrovsky, Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski. Structure-Blind Signal Recovery 2016
	hal-01336117v1 Pré-publication, Document de travail Vincent Guigues, Anatoli Juditsky, Arkadi Nemirovski. Non-asymptotic confidence bounds for the optimal value of a stochastic program 2016
	hal-01336112v1 Pré-publication, Document de travail Anatoli Juditsky, Arkadi Nemirovski. Near-Optimality of Linear Recovery in Gaussian Observation Scheme under L_2 -Loss 2016
	hal-01351066v1 Pré-publication, Document de travail Vincent Guigues, Anatoli Juditsky, Arkadii S. Nemirovski. Change Detection via Affine and Quadratic Detectors 2016
	hal-00981863v1 Chapitre d'ouvrage Anatoli Juditsky, Arkadii S. Nemirovski. First Order Methods for Nonsmooth Convex Large-Scale Optimization, I: General Purpose Methods Suvrit Sra, Sebastian Nowozin, Stephen J. Wright. Optimization for Machine Learning, MIT Press, pp.1-28, 2010
	hal-00981874v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski. Dual Algorithms for Large-Scale Learning Problems Theory and Practice: Dealing with Big Data and other Challenges, Informs Optimizaton Society Conference, Mar 2014, Houston, United States
	hal-00981883v1 Communication dans un congrès Anatoli Juditsky, Alexander Goldenshluger, Arkadii S. Nemirovski. Nonparametric testing by convex optimization WSL 2013 - International Workshop on Statistical Learning, Jun 2013, Moscow, Russia
	hal-00981909v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski. Reduced complexity methods for large-scale convex optimization ICML 2012 Workshop Optimization in Machine Learning, Jul 2012, Edinburgh, United Kingdom
	hal-00981921v1 Communication dans un congrès Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski, Boris Polyak. Accuracy guaranties for l1 recovery of block-sparse signals Structural methods of data analysis and optimization, Dec 2011, Moscow, Russia
	hal-00981924v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski. Application of convex optimization to statistical estimation and test Rencontres de statistique mathématique, Nov 2011, Luminy, France
	hal-00981934v1 Communication dans un congrès Anatoli Juditsky, Guanghui Lan, Arkadii S. Nemirovski, Alexander Shapiro. Acceleration by Randomization: Randomized First Order Algorithms for Large-scale Convex Optimization ISMP 2009 - 20th International Symposium of Mathematical Programming, Aug 2009, Chicago, United States
	hal-00981864v1 Chapitre d'ouvrage Anatoli Juditsky, Arkadii S. Nemirovski. First Order Methods for Nonsmooth Convex Large-Scale Optimization, II: Utilizing Problem's Structure Suvrit Sra, Sebastian Nowozin,Stephen J. Wright. Optimization for Machine Learning, MIT Press, pp.29-63, 2010
	hal-00981896v1 Communication dans un congrès Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski. Accuracy guaranties and optimal l1 recovery of sparse signals ISMP 2012 - 21th International Symposium on Mathematical Programming, Aug 2012, Berlin, Germany
	hal-00981900v1 Communication dans un congrès Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski. Verifiable sufficient conditions for l1 recovery of sparse signals ISMP 2012 - 21th International Symposium on Mathematical Programming, Aug 2012, Berlin, Germany
	hal-00981904v1 Communication dans un congrès Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski. Randomized First-Order algorithms for bilinear saddle point problems and their applications to l1 minimization ISMP 2012 - 21th International Symposium on Mathematical Programming, Aug 2012, Berlin, Germany
	hal-00981929v1 Communication dans un congrès Anatoli Juditsky, Fatma Kilinc Karzan, Arkadii S. Nemirovski. Verifiable Conditions of L1-recovery of Sparse Signals with Sign Restriction INFORMS Annual Meeting, Oct 2009, San Diego, United States
	hal-00981938v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski. Optimisation convexe pour estimation et tests non paramétriques 41èmes Journées de Statistique de la SFdS, May 2009, Bordeaux, France
	hal-00981927v1 Communication dans un congrès Anatoli Juditsky, Arkadii S. Nemirovski, Elmar Diederichs, Vladimir Spokoiny. Sparse Non Gaussian Component Analysis by Semide nite Programming Annual Conference of the Israel Statistical Association, May 2010, Ramat Efal, Israel
	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 56 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM

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