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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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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;TZID=Europe/Helsinki:20260105T100000
DTEND;TZID=Europe/Helsinki:20260105T120000
DTSTAMP:20260711T041455
CREATED:20250911T063912Z
LAST-MODIFIED:20250911T063912Z
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SUMMARY:CREST-Institut des politiques publiques (IPP) breakfast
DESCRIPTION:Annual CREST–IPP breakfast.\nAs in previous years\, the morning will continue with a series of four presentations\, accompanied by a light lunch: \n\n\nCREST: \n\n\nXavier D’Haultfoeuille will present his new book (Princeton University Press). \n\n\nRoland Rathelot will share insights from his recent research. \n\n\n\n\nIPP: \n\n\nMaxime Tô\, Head of the Pensions group. \n\n\nCamille Hémet\, Head of the Police and Justice group. \n\n\n\n\nWe will also take this opportunity to welcome our new IPP Research Assistant\, Jonathan Garson (full-time\, 1 year). Jonathan joins us with remarkable academic achievements\, prior experience as a Data Replicator for the Economic Journal\, and research assistantship experience. His position this year is generously funded by the CIEDS Polaris project\, led by Olivier Gossner. \nA call for proposals will be circulated in late September to coordinate Jonathan’s time among contributors (and potential contributors) to IPP policy notes and activities. \nFor any questions regarding the IPP or if you are considering making a contribution\, please feel free to reach out. \nContact: pierre.boyer@polytechnique.edu \n
URL:https://crest.science/event/crest-institut-des-politiques-publiques-ipp-breakfast/
CATEGORIES:Conferences and Workshops,Economics
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DTSTART;TZID=Europe/Helsinki:20260105T140000
DTEND;TZID=Europe/Helsinki:20260105T153000
DTSTAMP:20260711T041455
CREATED:20251208T145641Z
LAST-MODIFIED:20251229T080037Z
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SUMMARY:Olga KLOPP (ESSEC) - Semi Supervised Learning on Graphs with GNNs
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 5th January\nPlace: 3001 \n  \nOlga KLOPP (ESSEC) – Semi Supervised Learning on Graphs with GNNs \n Abstract:  \n  \nWe study semi‑supervised node prediction on graphs where responses arise from a graph‑aware feature operator followed by a smooth regression map. Within a class combining skip‑connected GCN propagation with a fully connected ReLU network\, we (i) derive an oracle inequality for population risk under random label masks that separates approximation and estimation error and exposes dependence on the labeled fraction\, covering numbers\, and a receptive‑field constant; (ii) show skip connections exactly represent multi‑hop polynomial filters\, mitigating over‑smoothing; (iii) give covering‑number bounds; and (iv) quantify robustness of our algorithm. These results link classical graph regularization and modern GNN design. \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \n  \n  \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/olga-klopp-essec-tba/
CATEGORIES:Seminars,Statistics
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