Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity

May 17 - 21, 2021

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, May 17, 2021

8:00 - 8:30
Anna Seigal (University of Oxford)

Principal Components along Quiver Representations
PDF Presentation

 
8:55 - 9:25
Christian Ikenmeyer (University of Liverpool)

Minrank: On the Complexity of Orbit Closures
PDF Presentation

 
9:50 - 10:20
Visu Makam (Institute for Advanced Study)

Maximum Likelihood Estimation for Tensor Normal Models
PDF Presentation

 
10:45 - 11:15
Ketan Mulmuley (University of Chicago)

 


Tuesday, May 18, 2021

8:00 - 8:30
Alessandra Bernardi (Università di Trento)

On the Dimension of Tensor Network Varieties.
PDF Presentation

 
8:55 - 9:25
Shmuel Friedland (University of Illinois at Chicago)

Complexity of Computation of Tensor Rank and Best Rank One Approximation
PDF Presentation

 
9:50 - 10:20
10:45 - 11:15
Babak Hassibi (California Institute of Technology)

Implicit and Explicit Regularization in Deep Neural Networks

 
11:40 - 12:10

Wednesday, May 19, 2021

8:00 - 8:30
8:55 - 9:25
Matthias Christandl (University of Copenhagen)

Asymptotics of Ranks of Tensors
PDF Presentation

 
9:50 - 10:20
10:45 - 11:15
11:40 - 12:10
Jeroen Zuiddam (Courant Institute of Mathematical Sciences)

Subrank, partition rank and slice rank
PDF Presentation


Thursday, May 20, 2021

8:00 - 8:30
8:55 - 9:25
Harm Derksen (Northeastern University)

Invariant Tensors and Wheeled PROPs.
PDF Presentation

 
9:50 - 10:20
Daniel Hsu (Columbia University)

Computational Lower Bounds for Tensor PCA
PDF Presentation

10:45 - 11:15
Andrea Montanari (Stanford University)

Simple Models for Noisy Tensors and Their Properties


Friday, May 21, 2021

8:00 - 8:30
8:55 - 9:25
9:50 - 10:20
10:45 - 11:15
Hanie Sedghi (Google AI)

Taming Deep Convolutional Networks