Sep 25 |
Administrivia and Course Overview. Concentration of Measure. |
Concentration of Measure Notes |
Sep 28 |
The PAC Model. |
Notes |
Sep 30 |
VC dimension | Notes |
Oct 2 |
No lecture. |
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Oct 5 |
No lecture. |
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Oct 7 |
VC dimension. The Uniform Convergence Theorem. |
Notes |
Oct 9 |
Proof of the Uniform Convergence Theorem. |
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Oct 12 |
Stochastic Gradient Descent. |
Draft Notes |
Oct 14 |
SGD contd. |
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Oct 16 |
SGD contd. |
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Oct 19 |
Spectral Learning. |
Draft Notes |
Oct 21 |
Spectral Learning contd. |
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Oct 23 |
Spectral Learning contd. |
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Oct 26 |
Active Learning |
Draft Notes |
Oct 28 |
Active Learning |
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Oct 30 |
Active Learning |
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Nov 2 |
Student Presentation: Chicheng Zhang |
Fourier PCA and Robust Tensor Decomposition: Slides |
Nov 4 |
Student Presentation: Songbai Yan |
Optimal Learners for Multiclass Problems: Slides |
Nov 6 |
Student Presentation: Yizhen Wang |
S-squared: An Efficient Algorithm for Graph-based Active Learning: Slides |
Nov 9 |
Student Presentation: Yuchao Liu |
Spectral Clustering and Block Models: A Review And A New Algorithm: Slides |
Nov 11 |
Veteran's Day. No lecture. |
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Nov 13 |
Student Presentation: Joseph Geumlek |
Distributed Learning, Communication Complexity, and Privacy: Slides |
Nov 16 |
No lecture |
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Nov 18 |
Guest Lecturer: Raef Bassily |
Adaptive Data Analysis |
Nov 20 |
Guest Lecturer: Raef Bassily |
Adaptive Data Analysis |
Nov 23 |
Student Presentation: Julaiti Alafate |
A Reliable Effective Tera-Scale Learning System |
Nov 25 |
Student Presentation: Shuang Song |
Non-negative Matrix Factorization With New Guarantees |
Nov 27 |
No lecture. Thanksgiving! |
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Nov 30 |
Student Presentation: Haik Manukian |
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition |
Dec 2 |
Student Presentation: Siyue Wu |
Random Projection Ensemble Classification |
Dec 4 |
Student Presentation: Sharad Vikram |
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods |