Events · OBD 2012
Optimization and Big Data 2012
Workshop, trek and colloquium · 24–25 May 2012 · Edinburgh, Scotland
Informatics Forum (workshop) and JCMB (colloquium), University of Edinburgh
Organizer: Peter Richtárik
Headline speaker: Yurii Nesterov (Université catholique de Louvain)
Original Edinburgh page · full copy
A NAIS workshop on optimization algorithms that scale to problems with tens of thousands or millions of variables, in machine learning, compressed sensing, natural language processing, truss topology design, and computational genetics.
Speakers
- Yurii Nesterov (CORE, UCL) — Subgradient methods for huge-scale optimization problems · slides
- Mark Schmidt (INRIA) — Inexact proximal-gradient methods and linearly-convergent stochastic gradient methods · slides
- Peter Richtárik (Edinburgh) — Parallel block coordinate descent methods for huge-scale partially separable problems · slides
- Alexandre D'Aspremont (École Polytechnique) — A stochastic smoothing algorithm for semidefinite programming · slides
- Jacek Gondzio (Edinburgh) — Matrix-free interior point method for large-scale optimization · slides
- Michal Kočvara (Birmingham) — Domain decomposition techniques in topology optimization · slides
- Coralia Cartis (Edinburgh) — A new and improved recovery analysis for iterative hard thresholding algorithms in compressed sensing · slides
- Nathan Srebro (TTI Chicago) — Stochastic approximation with mini-batches: smoothness, optimistic rates and acceleration · slides
Program
24 May 2012 — workshop, Informatics Forum 4.31
- 09:45–10:25 Yurii Nesterov
- 11:00–11:40 Mark Schmidt
- 11:45–12:25 Peter Richtárik
- 14:00–14:40 Alexandre D'Aspremont
- 14:45–15:25 Jacek Gondzio
- 16:00–16:40 Michal Kočvara
- 16:45–17:25 Coralia Cartis
- 17:30–18:10 Nathan Srebro
25 May 2012 — trek (morning) and colloquium, JCMB Lecture Theatre C
- 09:30–12:30 Light trek to Arthur’s Seat
- 16:00–17:00 Yurii Nesterov, Optimization in relative scale · slides