Workshop II: Numerical Methods for Continuous Optimization - IPAM

Workshop II: Numerical Methods for Continuous Optimization

October 11 - 15, 2010

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, October 11, 2010

Morning Session

08:30-09:15
Check-In/Light Breakfast (Hosted by IPAM)
09:15-09:30
Welcome and Opening Remarks
09:30-10:20
10:30-11:00
Break
11:00-11:50
Pablo Parrilo (Massachusetts Institute of Technology)
Rank/sparsity minimization and latent variable graphical model selection

Afternoon Session

12:00-14:00
Lunch (on your own)
15:00-15:15
Break
16:15-16:30
Break
17:30-19:30
Reception and Poster Session (Hosted by IPAM)

Tuesday, October 12, 2010

Morning Session

08:30-09:30
Continental Breakfast
09:30-10:20
Yurii Nesterov (Université Catholique de Louvain)
Efficiency of Quasi-Newton Methods on Strictly Positive Functions
10:30-11:00
Break

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-14:50
Michael Todd (Cornell University)
A Robust Optimization Result
15:00-15:15
Break
15:15-16:05
16:15-16:30
Break

Wednesday, October 13, 2010

Morning Session

08:30-09:30
Continental Breakfast
09:30-10:20
10:30-11:00
Break

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-14:50
Benjamin Recht (University of Wisconsin-Madison)
The Convex Geometry of Inverse Problems
15:00-15:15
Break
15:15-16:05
16:15-16:30
Break
16:30-17:20

Thursday, October 14, 2010

Morning Session

08:30-09:30
Continental Breakfast
10:30-11:00
Break
11:00-11:50
Andreas Waechter (IBM Thomas J. Watson Research Center)
Large-Scale Nonlinear Optimization with Inexact Step Computations

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-14:50
15:00-15:15
Break
16:15-16:30
Break

Friday, October 15, 2010

Morning Session

08:30-09:30
Continental Breakfast
09:30-10:20
10:30-11:00
Break

Afternoon Session

12:00-14:00
Lunch (on your own)
14:00-14:50
Henry Wolkowicz (University of Waterloo)
Taking advantage of Degeneracy in Cone Optimization
15:00-15:15
Break
16:15-16:30
Break
16:30-17:20
Maryam Fazel (University of Washington)
Algorithms for Rank Minimization of Structured Matrices