Usually on Tuesdays, 4-5 p.m., in PDL C-401 (!!!! NOTE CHANGE IN TIME !!!!)
Date:
Wednesday, Jan 12, 12:30-1:20 pm, CSE 305
Machine Learning Seminar
Speaker:
Venkat Chandrasekaran, MIT
Title : The Convex Algebraic Geometry of Linear Inverse Problems
Date:
Tuesday, Jan 18, 4-5 pm, Padelford C-401
Speaker:
Lin Xiao, Microsoft Research
Title : Optimal Distributed Online Prediction using Mini-Batches
Date:
Tuesday, Jan 25, 4-5 pm, Padelford C-401
Speaker:
Susan Margulies, Rice University
Title : Hilbert's Nullstellensatz and Linear Algebra: An Algorithm for Determining Combinatorial Infeasibility
Date:
Tuesday, Feb 8, 4-5 pm, Padelford C-401
Speaker:
Brad Bell, Applied Physics Lab, UW
Title : Python Algorithmic Differentiation of Sparse Linear Inversions
Slides
Date:
Tuesday, April 19, 4-5 pm, Padelford C-401
Speaker:
Jim Burke, Math, UW
Title : Maximum Likelihood Estimation of Mixture Densities
Date:
Tuesday, May 10, 4-5 pm, Padelford C-401
Speaker:
Ting Kei Pong, Math, UW (Thesis Defense)
Title : Convex Optimization in Sensor Network Localization and Multi-task Learning
Date:
Thursday, May 12, 2:30 p.m.ROOM: PAR 213
Speaker:
Joao Gouveia, Math, UW (Thesis Defense)
Title : Geometry of sums of squares relaxations
Date:
Tuesday, May 17, 4-5 pm, Padelford C-401
Speaker:
Raman Arora, Electrical Engineering, UW
Title: TBA
Date:
Tuesday, May 24, 4-5 pm, Padelford C-401
Speaker:
David Papp, Rutgers and Northwestern University
Title: TBA