Lancaster and Morecambe Bay

Statistical Learning Workshop

Thursday 23 March

The statistical learning workshop, organised by Azadeh Khaleghi and funded by LMS Scheme 1 Grant, will take place at Lancaster University on 23rd March, 2017. The workshop is centred around statistical learning theory and machine learning. This is an interdisciplinary research topic at the intersection of mathematics, statistics and computer science. The focus of the meeting will be on theoretical foundations of learning theory, where the objective is to construct efficient automatic inference, learning and decision-making algorithms with theoretical guarantees that require little to no human supervision to function as desired.  The meeting consists of four 45 minute talks and the confirmed speakers are

Speakers

Quentin Berthet (Cambridge University)
     on Exact recovery in the Ising blockmodel
Andras Gyorgy (Imperial College, London)
     on A Modular Analysis of Generalized Online and Stochastic Optimization with Applications to Non-Convex Optimization
Azadeh Khaleghi (Lancaster University)
     on Consistent Sequential Learning Algorithms for Highly Dependent Data
Dino Sejdinovic (Oxford University) 
     on Learning with Kernel Embeddings

Participation

Everybody is welcome to attend this event and there is no registration fee. Please note that for UK-based mathematicians with caring duties the LMS has a Caring Supplementary Grant scheme which allows participants of meetings like ours to apply for help covering caring costs.

Venue

All talks will be held in the Postgraduate Statistics Centre Lecture Theatre (Room A54, building 48 on the campus map). Information on travelling to Lancaster University and some maps can be found in the section Travel information or here.

Schedule

  • 12:00 - 13:00: Azadeh Khaleghi
  • 13:00 - 14:00: Lunch break
  • 14:00 - 15:00: Quentin Berthet
  • 15:00 - 16:00: Andras Gyorgy
  • 16:00 - 16:30: Coffee break
  • 16:30 - 17:30: Dino Sejdinovic
  • 18:30: Conference Dinner