BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 21.0.11
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE				
BEGIN:VEVENT
DTSTAMP:20240627T112257
UID:d71c767c-3466-11ef-9c63-000e0c3db68b
SUMMARY:Talk of Dr. Claire Vernade
DESCRIPTION:Dr. Claire Vernade\nUniversity of Tübingen\nTübingen, Germany\n\n&nbsp; \nTuesday 2024-07-02 4 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen&nbsp; \nAbstract\nDiscovery in Science is a complex process that involves exploration and planning, as well as\nhypothesis testing. In this talk, I will discuss why I believe that Reinforcement Learning can be\nan important ingredient in Machine Learning for Science.&nbsp;I will present 2 recent works I have\nbeen working on with my group:&nbsp;\n\nA Pontryagin's perspective on Open-Loop Reinforcement Learning:&nbsp;&nbsp; \nhttps://arxiv.org/abs/2405.18100 (w/ Onno Eberhard\nand Michael Mühlebach)\nPrior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured\nBandits: \nhttps://arxiv.org/abs/2402.05878 (with Nicolas\nNguyen, Imad Aouali, Andras György)\n\nThe talk will start with a gentle introduction to Reinforcement Learning Theory.&nbsp; \nBiographical Information\nClaire is a Group Leader at the University of Tuebingen, in the&nbsp; \nCluster of Excellence Machine Learning for\nScience(*). She was awarded an&nbsp; \nEmmy Noether\naward under the AI Initiative call in 2022.&nbsp;\nHer research is on sequential decision making. It mostly spans bandit problems, and\ntheoretical Reinforcement Learning, but her research interests extend to Learning Theory and\nprincipled learning algorithms.&nbsp;Her goal is to make Machine Learning a continual process whose\ndynamical aspects are understood and controlled.&nbsp;\nBetween November 2018 and December 2022, she was a Research Scientist at DeepMind in London\nUK in the Foundations team lead by&nbsp; \nProf. Csaba Szepesvari. She did a post-doc in\n2018&nbsp;with&nbsp; \nProf. Alexandra\nCarpentier&nbsp;at the University of Magdeburg in Germany&nbsp;while working part-time as\nan&nbsp;Applied Scientist at Amazon in Berlin. She received her PhD from Telecom ParisTech in\nOctober 2017, under the guidance of&nbsp; \nProf. Olivier Cappé.&nbsp;\nI am co-leading the&nbsp; \nWomen in Learning Theory&nbsp;initiative as well as the new\ngroup of&nbsp; \nTübingen Women in Machine Learning,&nbsp;please reach out\nif you have questions or if you'd like to help.\n\n\n\n&nbsp;
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240702
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Dr.-Claire-Vernade/
END:VEVENT
END:VCALENDAR