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SUMMARY:The capacity of the Gaussian retail channel
DTSTART:20190717T140000
DTEND:20190717T150000
DTSTAMP:20260916T034808Z
UID:279ed9f1e5f2de0efb795661188e161559092f9f891f278aab3e11d1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Short bio: Damon Wischik is a lecturer in the Computer Science
  department at Cambridge University\, and a fellow of the Alan Turing Inst
 itute. He specializes in data science and machine learning. He spent five 
 years as chief data scientist at Urban Engines\, a startup which worked on
  urban analytics and behaviour nudging. Before that\, he was a researcher 
 in probability theory\, computer networking\, and statistics\, in maths at
  Cambridge University and in computer science at University College London
 .\nAbstract: How should Uber set its prices and allocate its drivers? Ther
 e are two separate types of modelling that are needed. First\, we need to 
 model how users make choices and how their choices depend on price\; this 
 is the field of discrete choice modelling\, a staple of transport modellin
 g. Second\, we need to model traffic flows and how capacity should be allo
 cated in a network\; this is the field of network utility maximization\, p
 ioneered by Frank Kelly in the context of Internet congestion control. I w
 ill describe how these can be linked\, via a surprising application of Sha
 nnon's information theory. I will also suggest avenues of research on how 
 machine learning models of human behaviour might be integrated with models
  of urban or economic systems.
LOCATION:GC B1 10 https://plan.epfl.ch/?room=GCB110
STATUS:CONFIRMED
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