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” |
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 |
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 |
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 |
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 |