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Tuesday, 26 December 2017
Time Speaker Title Resources
10:00 to 11:00 Rina Panigrahy Deep Learning Applications
11:00 to 12:00 Partha Mitra Workshop context setting; Phase transitions in distributed controls/ML
12:00 to 13:30 -- Lunch
13:30 to 15:00 Chandan Dasgupta Statistical Mechanics (Tutorial)
15:00 to 15:30 -- Coffee
15:30 to 17:00 -- Introduction session: 1 minute intros + 1 minute “problem statements”
Wednesday, 27 December 2017
Time Speaker Title Resources
10:30 to 12:00 Yoshiyuki Kabashima The replica method - applications to LDPC codes, SAT problems, compressed sensing etc. (Tutorial)
12:00 to 13:30 -- Lunch
13:30 to 15:00 Spenta Wadia Random Matrices (Tutorial)
15:00 to 15:30 -- Coffee
15:30 to 17:00 Surya Ganguli Statistical mechanics of deep learning
Thursday, 28 December 2017
Time Speaker Title Resources
10:30 to 12:00 Mikhail Belkin ML Basics and Kernel Methods (Tutorial)
12:00 to 13:30 -- Lunch
13:30 to 14:30 David Woodruff Relative Error Tensor Low Rank Approximation
14:30 to 16:30 -- Breakout sessions/self-organized discussions/working out problems in pairs, groups
Friday, 29 December 2017
Time Speaker Title Resources
10:30 to 11:00 Hariharan Narayanan Fitting a Manifold to Noisy Data
11:00 to 11:30 Manoj Gopalkrishnan In Vitro Philosophers: Chemical Reaction Networks that do Machine Learning
11:30 to 12:00 Arnab Bhattacharyya Testing Sparsity over Known and Unknown Bases
12:00 to 12:30 Varsha Banerjee Ground States and Phase Ordering Studies of the Random Field Ising Model
12:30 to 14:00 -- Lunch
14:00 to 16:00 -- Breakout sessions/self-organized discussions/working out problemsin pairs, groups
Saturday, 30 December 2017
Time Speaker Title Resources
10:30 to 12:30 -- Breakout sessions/self-organized discussions/working out problems in pairs, groups
12:30 to 14:00 -- Lunch