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UID:94@lincs.fr
DTSTART;TZID=Europe/Paris:20150522T103000
DTEND;TZID=Europe/Paris:20150522T113000
DTSTAMP:20170313T171044Z
URL:https://www.lincs.fr/events/the-power-of-online-learning-in-stochastic
 -network-optimization/
SUMMARY:The Power of Online Learning in Stochastic Network Optimization
DESCRIPTION:\n\n\nAbstract:\nWe investigate the power of online learning in
 stochastic network optimization with unknown system statistics a priori. We
 are interested in understanding how information and learning can be
 efficiently incorporated into system control techniques\, and what are the
 fundamental benefits of doing so. We propose two Online Learning-Aided
 Control techniques\, OLAC and OLAC2\, that explicitly utilize the past
 system information in current system control via a learning procedure
 called dual learning. We prove strong performance guarantees of the
 proposed algorithms: OLAC and OLAC2 achieve the near-optimal O(epsilon)\,
 O([log(1/epsilon)^2)]$ utility-delay tradeoff and OLAC2 possesses an
 $O(epsilon^-2/3)$ convergence time. OLAC and OLAC2 are probably the first
 algorithms that simultaneously possess explicit near-optimal delay
 guarantee and sub-linear convergence time. Simulation results also confirm
 the superior performance of the proposed algorithms in practice. To the
 best of our knowledge\, our attempt is the first to explicitly incorporate
 online learning into stochastic network optimization and to demonstrate its
 power in both theory and practice.\n\n\nBiography:\nDr. Longbo Huang
 received his Ph.D. from the EE department at the University of Southern
 California in August 2011. He was then a postdoctoral researcher in the
 EECS department at UC Berkeley from July 2011 to August 2012. Since then he
 has been an assistant professor at the Institute for Interdisciplinary
 Information Sciences (IIIS) at Tsinghua University. Dr. Huang was a
 visiting scholar at the LIDS lab at MIT in summer 2012 and 2014\, at the
 EECS department at UC Berkeley in summer 2013\, and at Bell-labs France in
 April 2013. He was also a visiting professor at the Institute of Network
 Coding at CUHK in winter 2012. Dr. Huang was selected into China'sYouth
 1000-talent program in 2013. Dr. Huang's research interests lie in the
 areas of stochastic learning and optimization for networked systems\,
 delay-efficient network control\, mobile networks\, data center
 networking\, energy management and smart grid.\n\n\n
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23\, avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Meeting Room
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20150329T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
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