{"id":5232,"date":"2022-11-22T13:24:54","date_gmt":"2022-11-22T12:24:54","guid":{"rendered":"https:\/\/samovar.telecom-sudparis.eu\/?page_id=5232"},"modified":"2022-11-22T13:31:00","modified_gmt":"2022-11-22T12:31:00","slug":"sholom-schechtman","status":"publish","type":"page","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/acmes-2\/sholom-schechtman\/","title":{"rendered":"Sholom SCHECHTMAN"},"content":{"rendered":"\t\t
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SAMOVAR – SAMOVAR
Telecom SudParis
\r\n9 rue Charles Fourier
\r\n91011 EVRY CEDEX<\/p>

Fax : +33 (0) 1 60 76 20 80<\/p><\/div>

Sholom SCHECHTMAN<\/span><\/h1>
Ma\u00eetre de Conf\u00e9rences<\/em>
SOP<\/span><\/a><\/span><\/div>
sholom.schechtman@-Code to remove to avoid SPAM-<\/span>telecom-sudparis.eu<\/span><\/div><\/div><\/div><\/p>

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Article dans une revue<\/p>\n

2026<\/p>\n

\n
ref_biblio<\/dt>
Sholom Schechtman. The gradient\u2019s limit of a definable family of functions admits a variational stratification. SIAM Journal on Optimization<\/i>, In press. ⟨hal-04452981v2⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-04452981\/file\/limfin_vfin.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

2024<\/p>\n

\n
ref_biblio<\/dt>
Pascal Bianchi, Walid Hachem, Sholom Schechtman. Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions. Mathematics of Operations Research<\/i>, 2024, 49 (3), pp.1761-1790. ⟨10.1287\/moor.2021.0194⟩<\/a>. ⟨hal-03442137v3⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-03442137\/file\/tame.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

2022<\/p>\n

\n
ref_biblio<\/dt>
Pascal Bianchi, Walid Hachem, Sholom Schechtman. Convergence of constant step stochastic gradient descent for non-smooth non-convex functions. Set-Valued and Variational Analysis<\/i>, 2022, 30 (3), pp.1117-1147. ⟨10.1007\/s11228-022-00638-z⟩<\/a>. ⟨hal-02564349v3⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-02564349\/file\/clarke.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n
\n
ref_biblio<\/dt>
Sholom Schechtman. Stochastic proximal subgradient descent oscillates in the vicinity of its accumulation set. Optimization Letters<\/i>, 2022, ⟨10.1007\/s11590-022-01884-8⟩<\/a>. ⟨hal-03676675⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-03676675\/file\/oscillations.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

2021<\/p>\n

\n
ref_biblio<\/dt>
Anas Barakat, Pascal Bianchi, Walid Hachem, Sholom Schechtman. Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance. Electronic Journal of Statistics <\/i>, 2021, 15 (2), pp.3892-3947. ⟨10.1214\/21-EJS1880⟩<\/a>. ⟨hal-03310455⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-03310455\/file\/20adam.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

Communication dans un congr\u00e8s<\/p>\n

2025<\/p>\n

\n
ref_biblio<\/dt>
Sholom Schechtman, Nicolas Schreuder. The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks. The 38th Annual Conference on Learning Theory (COLT)<\/i>, Jun 2025, Lyon, France. pp.5143-5172. ⟨hal-05227831⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-05227831\/file\/arxiv_final.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

2023<\/p>\n

\n
ref_biblio<\/dt>
Louis Leconte, Sholom Schechtman, Eric Moulines. ASkewSGD : an annealed interval-constrained optimisation method to train quantized neural networks. The 26th International Conference on Artificial Intelligence and Statistics (AISTATS)<\/i>, Apr 2023, Valencia (Espagne), Spain. pp.3644–3663. ⟨hal-04527690⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-04527690\/file\/leconte23a.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n
\n
ref_biblio<\/dt>
Louis Leconte, Sholom Schechtman, Eric Moulines. AskewSGD : an annealed interval-constrained optimisation method to train quantized neural networks. 26th International Conference on Artificial Intelligence and Statistics<\/i>, Apr 2023, Valencia, Spain. pp.3644–3663. ⟨hal-04063706⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/hal.science\/hal-04063706\/file\/2211.03741.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n
\n
ref_biblio<\/dt>
Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, \u00c9ric Moulines. Orthogonal directions constrained gradient method: from non-linear equality constraints to stiefel manifold. The 36th Annual Conference on Learning Theory (COLT 2023)<\/i>, Jul 2023, Bangalore, India. pp.1228–1258. ⟨hal-04273789⟩<\/a><\/dd>\n
Acc\u00e8s au bibtex<\/dt>\n
\n\"https:\/\/arxiv.org\/pdf\/2303.09261\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

Th\u00e8se<\/p>\n

2021<\/p>\n

\n
ref_biblio<\/dt>
Sholom Schechtman. Some Problems in Nonconvex Stochastic Optimization. Numerical Analysis [math.NA]. Universit\u00e9 Gustave Eiffel, 2021. English. ⟨NNT : 2021UEFL2031⟩<\/a>. ⟨tel-03698454⟩<\/a><\/dd>\n
Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n
\n\n\"https:\/\/theses.hal.science\/tel-03698454\/file\/TH2021UEFL2031.pdf\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n

Pr\u00e9-publication, Document de travail<\/p>\n

2023<\/p>\n

\n
ref_biblio<\/dt>
Evgenii Chzhen, Sholom Schechtman. SignSVRG: fixing signSGD via variance reduction. 2023. ⟨hal-04112556⟩<\/a><\/dd>\n
Acc\u00e8s au bibtex<\/dt>\n
\n\"https:\/\/arxiv.org\/pdf\/2305.13187\"<\/a>\n\n\"BibTex\"<\/a>\n<\/span><\/dd>\n<\/dl>\n<\/div>\n<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":0,"parent":2438,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","footnotes":""},"class_list":["post-5232","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/5232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/comments?post=5232"}],"version-history":[{"count":5,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/5232\/revisions"}],"predecessor-version":[{"id":5237,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/5232\/revisions\/5237"}],"up":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/2438"}],"wp:attachment":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media?parent=5232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}