MS-We-D-44
Mathematics of Information and Low Dimensional Models - Part II of III
For Part I, see MS-Tu-E-44
For Part III, see MS-We-E-44

Date: August 12
Time: 13:30--15:30
Room: 2-1

(Note: Click title to show the abstract.)

Organizer:
Blanchard, Jeffrey (Grinnell College)

Abstract: This min-symposium considers a variety of ill-posed inverse problems associated with information theory, signal processing, and image processing. By exploiting low dimensional structure, such as in compressed sensing and low rank matrix completion, tractable algorithms permit construction of accurate approximate solutions and low dimensional representations. The mini-symposium will include state-of-the-art work on algorithms, theoretical analysis, and relationships with high dimensional geometry from researchers at all stages of their careers.


Notes to ICIAM Committee:
- Jared Tanner (Oxford) is a co-organizer of this symposium but does not have a pin.
- This symposium is sponsored by the SIAM SIAG on Linear Algebra.


MS-We-D-44-1
13:30--14:00
Multiscale Geometric Methods for Statistical Learning and Data in High-Dimensions
Maggioni, Mauro (Duke Univ.)
Liao, Wenjing (Duke Univ. & SAMSI)


MS-We-D-44-2
14:00--14:30
Low-dimensional quantized representations of signals and their distances.
Boufounos, Petros (Mitsubishi Electric Research Laboratories)


MS-We-D-44-3
14:30--15:00
Does $\ell_p$-minimization outperform $\ell_1$-minimization?
Maleki, Arian (Columbia Univ.)


MS-We-D-44-4
15:00--15:30
Metric learning with rank and sparsity constraints
Bah, Bubacarr (Univ. of Texas at Austin)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA