Weekly reading
Please submit a 1/2 to 1 page report on the paper you read containing the following:
Content: summarize the contents of the paper by answering the following:
a. What problem/question does the paper address?
b. How do they resolve it? What techniques are used?
c. Why do they address this question? How do they motivate their work?
Your opinion: what did you like about the paper both in terms of the technique and in terms of the way it is written? What could be improved?
Detecting the Community Structure and Activity patterns of Temporal Networks: a Nonnegative Tensor Factorization Approach [Report due: Fri, Sep 16; Discussion: Mon, Sep 26]
Learning Mixtures of Spherical Gaussians (first 6 pages) [Report due: Mon, Sep 26; Discussion: Mon, Sep 26]
The Convex Geometry of Linear Inverse Problems [Report due: Mon, Oct 10; Discussion: Mon, Oct 17]
Fast Algorithm for Overcomplete Order-3 Tensor Decomposition [Report due: Mon, Oct 17; Discussion: Mon, Oct 17]
Discovering Faster Matrix Multiplication Algorithms with Reinforcement Learning [Report due: Wed, Oct 26; Discussion: Wed, Oct 26]
Most Tensor Problems are NP-hard [Report due: Mon, Nov 7; Discussion: Mon, Nov 7]
Locality Optimization for Parent Hamiltonians of Tensor Networks [Report due: Mon, Nov 21; Discussion: Mon, Nov 21]