BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:MEchanics GAthering –MEGA- Seminar: Bayesian Optimization for Pe
 rformance Auto-Tuning: Constrained\, Grey-Box\, and Multi-Agent Algorithms
DTSTART:20231012T161500
DTEND:20231012T173000
DTSTAMP:20260406T110906Z
UID:8ddd4dd35610758a28e901fed61491ca774ac557390ac47646fa3eaf
CATEGORIES:Conferences - Seminars
DESCRIPTION:Wenjie Xu (LA\, EPFL)\nAbstract\nPerformance tuning is ubiquit
 ous in engineering\, where a set of parameters are tuned to optimize the p
 erformance of a system subject to a set of constraints to be satisfied. It
  is of great practical interest to automate this process by algorithms to 
 boost the tuning efficiency. However\, the mapping from the parameters to 
 the performance/constraints are typically black-box functions and each eva
 luation of these functions can be very expensive. Bayesian optimization (B
 O)\, as a sample-efficient black-box optimization method\, has recently fo
 und successful applications in many different performance tuning tasks. Ho
 wever\, conventional BO algorithms can not manage the constraint violation
  well and suffer from the curse of dimensionality. In this talk\, I will p
 resent our recent works on constrained\, grey-box and multi-agent Bayesian
  optimization algorithms\, in an attempt to address the violation managem
 ent and scalability issues.\n\nBiography\nWenjie Xu is a third-year Ph.D
 . student in Electrical Engineering with the Automatic Control Laboratory\
 , EPFL\, and a guest Ph.D. student with the Urban Energy Systems Laborator
 y at Empa. He is jointly supervised by Prof. Colin Jones at EPFL and Dr. 
 Bratislav Svetozarevic from Empa. He received MPhil degree from The Chine
 se University of Hong Kong in 2020 and B.E. degree from Tsinghua Universi
 ty in 2018. His research interests include data-driven optimization\, cont
 roller performance tuning\, intelligent transportation\, and smart energy
  systems\, with more than ten papers published in journals (such as T-IT
 S\, T-NNLS\, etc.) and conferences (such as ICML\, MobiHoc\, CDC\, etc.)
 . He received the ASME Energy Systems Technical Committee Best Paper Awa
 rd at the 2022 American Control Conference.
LOCATION:MED 2 2423 https://plan.epfl.ch/?room==MED%202%202423 https://epf
 l.zoom.us/j/67432145299?pwd=RXo4dHBQaFhFbktzYVdIa2xGOEhqUT09
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR