AMS Sectional Meeting AMS Special Session
Current as of Monday, April 1, 2019 03:30:04
Spring Central and Western Joint Sectional Meeting
- University of Hawaii at Manoa, Honolulu, HI
- March 22-24, 2019 (Friday - Sunday)
- Meeting #1147
Georgia Benkart, AMS benkart@math.wisc.edu
Michel L Lapidus, AMS lapidus@math.ucr.edu, lapidus@mathserv.ucr.edu
Special Session on Sparsity, Randomness, and Optimization
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Friday March 22, 2019, 9:00 a.m.-10:45 a.m.
Special Session on Sparsity, Randomness, and Optimization, I
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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9:00 a.m.
Learning from paired comparisons.
Mark A Davenport*, Georgia Institute of Technology
(1147-68-654) -
10:00 a.m.
Exceeding Expectations in Compressed Sensing: Deterministic Frames with Conjugate Gradient Iterative Hard Thresholding.
Jeffrey D. Blanchard*, Grinnell College
(1147-15-727)
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9:00 a.m.
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Friday March 22, 2019, 3:00 p.m.-5:45 p.m.
Special Session on Sparsity, Randomness, and Optimization, II
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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3:00 p.m.
Application of Stochastic Algorithms for Multiple Measurement Vectors to the Hyperspectral Diffuse Optical Tomography Problem.
Rachel Grotheer*, Goucher College
Natalie Durgin, Spiceworks
Chenxi Huang, Yale University
Shaung Li, Colorado School of Mines
Anna Ma, University of California, San Diego
Deanna Needell, University of California, Los Angeles
Jing Qin, Montana State University
(1147-94-739) -
4:00 p.m.
Analysis of a Two-Layer Neural Network via Displacement Convexity.
Adel Javanmard*, University of Southern California (USC)
(1147-62-557) -
5:00 p.m.
Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Approximating Functions of Many Variables.
Mark Iwen*, Michigan State University
Bosu Choi, University of Texas
Felix Krahmer, TUM
(1147-65-385)
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3:00 p.m.
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Saturday March 23, 2019, 9:00 a.m.-10:45 a.m.
Special Session on Sparsity, Randomness, and Optimization, III
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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9:00 a.m.
New algorithms and improved bounds for one-bit compressed sensing on manifolds.
Rayan Saab*, University of California San Diego
(1147-65-489) -
10:00 a.m.
Nonconvex Approaches in Data Science.
Yifei Lou*, University of Texas Dallas
(1147-65-197)
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9:00 a.m.
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Saturday March 23, 2019, 2:00 p.m.-4:45 p.m.
Special Session on Sparsity, Randomness, and Optimization, IV
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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2:00 p.m.
Weighted recovery of low-rank matrices from fixed sampling patterns.
Simon Foucart, Texas A&M
Deanna Needell, UCLA
Reese Pathak, Stanford
Yaniv Plan, UBC
Mary Wootters*, Stanford
(1147-49-310) -
2:30 p.m.
Variants of the Randomized Kaczmarz Algorithm and their Applications.
Anna Ma*, University of California, San Diego
(1147-15-338) -
3:00 p.m.
Implicit regularization for constant step-size SGD: why it works for non-smooth, non-convex, low-rank models.
Yan Shuo Tan*, University of California, Berkeley
Roman Vershynin, University of California, Irvine
(1147-68-630) -
4:00 p.m.
Cluster analysis on covariance stationary ergodic processes and locally asymptotically self-similar processes.
Qidi Peng, Institute of mathematical sciences, Claremont Graduate University
Nan Rao*, Institute of mathematical sciences, Claremont Graduate University
Ran Zhao, Institute of mathematical sciences, Claremont Graduate University
(1147-62-394)
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2:00 p.m.
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Sunday March 24, 2019, 9:00 a.m.-10:45 a.m.
Special Session on Sparsity, Randomness, and Optimization, V
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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9:00 a.m.
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives.
Song Zhou, Cornell University
Swati Gupta*, Georgia Institute of Technology
Madeleine Udell, Cornell University
(1147-90-409) -
10:00 a.m.
Fused-Lasso Optimization and it's Application to Radar Sensor Calibration.
Hassan Mansour*, Mitsubishi Electric Research Laboratories
(1147-90-176)
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9:00 a.m.
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Sunday March 24, 2019, 1:30 p.m.-3:15 p.m.
Special Session on Sparsity, Randomness, and Optimization, VI
Room D 106, Business Administration Building
Organizers:
Deanna Needell, University of California, Los Angeles deanna@math.ucla.edu
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1:30 p.m.
Estimating Network Structure from Incomplete Event Data.
Benjamin Mark, University of Wisconsin-Madison
Garvesh Raskutti, University of Wisconsin-Madison
Rebecca Willett*, University of Chicago
(1147-62-401) -
2:30 p.m.
Probabilistic Energy Minimization on Regular Networks and Applications.
Michael M Dotzel*, University of Missouri - Columbia
(1147-94-89)
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1:30 p.m.
Inquiries: meet@ams.org