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X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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TZOFFSETFROM:+0200
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DTSTART:20250330T010000
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DTSTART:20251026T010000
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DTSTART;TZID=Europe/Helsinki:20251103T121500
DTEND;TZID=Europe/Helsinki:20251103T133000
DTSTAMP:20260711T132635
CREATED:20251027T072403Z
LAST-MODIFIED:20251029T064406Z
UID:18518-1762172100-1762176600@crest.science
SUMMARY:Gregorio CURELLO ( University of Mannheim )  "Voting over time and space"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate :03 th  November 2025 \nZoom \nGregorio Curello ( University of Mannheim ) “Voting over time and space” \nAbstract: A committee chooses a profile of actions via a sequence of binary votes. Actions are complements\, and committee members can be ranked according to their preference for high action profiles. We show that\, for a large family of voting procedures\, the committee chooses the action profile favoured by an agent who enjoys a central position in the ranking. The chosen profile remains the same if agents are privately informed about their preferences\, or if some agents vote sincerely instead of strategically. We obtain similar results for committees facing dynamic stochastic decision problems. We derive applications to problems of multi-input investment\, resource allocation\, optimal bankruptcy\, and production with adjustment costs. \nJoint work : John QUAH (National University of Singapore) and Bruno STRULOVICI (Nothwestern University) \nOrganizer : Matias NUNEZ \n
URL:https://crest.science/event/gregorio-curello-university-of-mannheim-voting-over-time-and-space/
CATEGORIES:Macroeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20251103T140000
DTEND;TZID=Europe/Helsinki:20251103T153000
DTSTAMP:20260711T132635
CREATED:20251021T122118Z
LAST-MODIFIED:20251027T133843Z
UID:18487-1762178400-1762183800@crest.science
SUMMARY:Christophe GIRAUD (Université Paris Saclay) - Computational barriers in learning: high-dimensional phenomenon
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: November 3rd\nPlace: 3001 \n  \nChristophe GIRAUD (Université Paris Saclay) – Computational barriers in learning: high-dimensional phenomenon \n  \n Abstract:  \n  \nIn many high-dimensional problems\, the best polynomial-time estimators fall short of the information-theoretic limits that are provably attainable without computational constraints. The low-degree polynomial framework has emerged as a powerful tool for analyzing the fundamental capabilities of polynomial-time algorithms. Building on our recent advances in the study of low-degree lower bounds\, we will explore two notable high-dimensional phenomena: \n\n Complex structures– We will show that polynomial-time algorithms may fail to leverage certain low-dimensional yet complex structures.\n Beyond predictions from statistical physics– We will highlight cases where the computational barriers suggested by tools from statistical physics do not remain valid in specific high-dimensional regimes.\n\n  \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/christophe-giraux-universite-paris-saclay-tba/
CATEGORIES:Seminars,Statistics
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