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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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TZOFFSETFROM:+0200
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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;TZID=Europe/Helsinki:20260629T140000
DTEND;TZID=Europe/Helsinki:20260629T153000
DTSTAMP:20260707T154419
CREATED:20260223T091428Z
LAST-MODIFIED:20260223T091428Z
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SUMMARY:Andrea MONTANARI (Stanford University) - TBA
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 29th June\nPlace: 3001 \n  \nAndrea MONTANARI (Stanford University) – TBA \n  \n Abstract:  \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/andrea-montanari-stanford-university-tba/
CATEGORIES:Seminars,Statistics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260629T140000
DTEND;TZID=Europe/Helsinki:20260629T153000
DTSTAMP:20260707T154419
CREATED:20260223T141458Z
LAST-MODIFIED:20260624T072244Z
UID:18826-1782741600-1782747000@crest.science
SUMMARY:Andrea MONTANARI (Stanford University) - Learning in two-layer neural networks: A statistical overview
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 29th June\nPlace: 3001 \n  \nAndrea MONTANARI (Stanford University) – Learning in two-layer neural networks: A statistical overview \n  \n Abstract:  \nClassical statistical models are constructed so that either the number of parameters is small with respect to the sample size\, or they regularization is strong enough so that their `effective dimension’ is small. From this perspective\, basic techniques such as maximum likelihood are not that different from more modern ones\, such as the Lasso. \nIn contrast\, modern machine learning models are vastly miss-specified and overparametrized\, and only very loosely regularized. The resulting emirical risk function has many near-global optima\, which are very far from each other in parameters’ space. How can we make sense of their statistical properties? I will summarize what we learnt over the years by studying a simple and yet extremely rich setting: learning in two-layer networks. \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/andrea-montanari-stanford-university-tba-2/
CATEGORIES:Seminars,Statistics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260630T121500
DTEND;TZID=Europe/Helsinki:20260630T133000
DTSTAMP:20260707T154419
CREATED:20260424T133305Z
LAST-MODIFIED:20260625T152213Z
UID:18940-1782821700-1782826200@crest.science
SUMMARY:Nagui BECHICHI (PSE) - "Second Chances in Higher Education: Turning Setbacks into New Opportunities"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: June\, 30th\nRoom : 3001 \nNagui BECHICHI  “Second Chances in Higher Education: Turning Setbacks into New Opportunities” \nAbstract :  \nUsing administrative data from France’s centralized college admissions platform\, I analyze students already enrolled in higher education who apply to switch to a different program\, typically restarting from the first year. To estimate the effects of postsecondary redirection\, I exploit a fuzzy regression discontinuity design based on the lowest admission cutoff among the programs to which each student applied. For applicants just above the cutoff\, admission to a new program increases matriculation and graduation rates by 38 and 23 percentage points\, respectively\, measured within six years of the new application. The effects are strongest for students shifting to two-year vocational programs. Although postsecondary redirection entails additional public spending\, higher graduation rates offset these costs\, making it a cost-neutral way to correct early misalignments in students’ educational paths. \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-www-parisschoolofeconomics-eu-personnes-nagui-bechichi/
CATEGORIES:Applied Seminar,Seminars
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260701
DTEND;VALUE=DATE:20260704
DTSTAMP:20260707T154419
CREATED:20260601T123744Z
LAST-MODIFIED:20260601T123744Z
UID:18991-1782864000-1783123199@crest.science
SUMMARY:8th International Workshop on Matching Under Preferences (MATCH UP 2026)
DESCRIPTION:8th International Workshop on Matching Under Preferences\nNYU Paris\, Paris\, France\n1-3 July\, 2026\nMATCH-UP is a series of interdisciplinary and international workshops on matching under preferences. The remit of these workshops is to explore matching problems with preferences from the perspective of algorithms and complexity discrete mathematics\, combinatorial optimization\, game theory mechanism design and economics\, and thus a key objective is to bring together the research communities of the related areas. Another important aim is to convey the excitement of recent research and new application areas\, exposing participants to new ideas\, new techniques\, and new problems. \nList of Topics \nThe matching problems under consideration include\, but are not limited to: \n\nTwo-sided matchings involving agents on both sides (e.g.\, college admissions\, medical resident allocation\, job markets\, and school choice)\nTwo-sided matchings involving agents and objects (e.g.\, house allocation\, course allocation\, project allocation\, assigning papers to reviewers\, and school choice)\nOne-sided matchings (e.g.\, roommate problems\, coalition formation games\, and kidney exchange)\nMulti-dimensional matchings (e.g.\, 3D stable matching problems)\nMatching with payments (e.g.\, assignment game)\nOnline and stochastic matching models (e.g.\, Google Ads\, ride sharing\, Match.com)\nOther recent applications (e.g.\, refugee resettlement\, food banks\, social housing\, and daycare)\n\nInvited speakers:\nItai Ashlagi – Stanford University\nIrene Lo – Stanford MSE\nRebecca Reiffenhäuser – University of Amsterdam \nDates:\nSubmission deadline: February 15\, 2026.\nNotification: April 15\, 2026.\nFinal registration: June 1\, 2026 \nMore information here. \nThe conference benefits from the support of the ERC MADPART Grant.\nFunded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.\n
URL:https://crest.science/event/8th-international-workshop-on-matching-under-preferences-match-up-2026/
CATEGORIES:Conferences and Workshops,Economics
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260712
DTEND;VALUE=DATE:20260720
DTSTAMP:20260707T154419
CREATED:20260601T123602Z
LAST-MODIFIED:20260601T123602Z
UID:18990-1783814400-1784505599@crest.science
SUMMARY:Statistics and Learning Theory Summer School
DESCRIPTION:\n\n\n\n\n\n\nThe Faculty of Mathematics and Mechanics of the Yerevan State University\, in collaboration with CREST\, Paris\, is organizing a \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSummer School on\nStatistics and Learning Theory\n\n\n\n\nwhich will be held on July 12 – 19\, 2026\, Armenia. \n\n\n\n\nThe target audience of the Summer School are university undergraduate seniors\, Master and PhD students and researchers\, as well as industry people interested in Probability\, Statistics\, Machine Learning and applications. Lectures will be in English. \n\n\n\n\nThe above photos are from the previous event organized in Armenia\, the  Summer School on Cryptography\, Statistics and Machine Learning\, June 29 – July 06\, 2025. \n\n\n\n\nThe participation fee is 450 EUR for academia participants and 600 EUR for industry participants. The participation fee will cover all local expenses\, including registration fee\, accommodation and full board. We have a special discounted participation fee of 250 EUR for undergraduate\, master and PhD students from Armenian Universities.  We intend to have some scholarships for academia participants to cover (fully or partially) their participation fees. For more details about how to apply for the scholarship\, please see the Registration page. \n\n\n\n\nSince the number of participants is very limited\, the selection process is assumed for the registered participants. After receiving the participation approval\, and only in that case\, the payment should be made to the account provided in the confirmation email. \n\n\n\n\nThe deadline for registration is June 15\, 2026. Please find the registration form below. \n\n\n\n\nThe Arrival Day is July 12\, 2026\, and the Departure Day is July 19\, 2026. \n\n\n\n\nFor contact addresses\, please visit the Contacts Page. \nMore information here. \nThe conference benefits from the support of the ERC SAGMOS Grant.\nFunded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.\n\n\n\n\n\n\n\n
URL:https://crest.science/event/statistics-and-learning-theory-summer-school/
CATEGORIES:Conferences and Workshops,Statistics
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