Tensor Decompositions for Learning Latent Variable Models II
1,234 views · Published 27 January 2017 · 53:12 · Indexed 21 October 2026
Channel: Simons Institute for the Theory of Computing · 2017 · Education
Daniel Hsu, Columbia University https://simons.berkeley.edu/talks/daniel-hsu-01-27-2017-2 Foundations of Machine Learning Boot Camp
More from this channel
-
35:16
Probabilistic Polynomials and Hamming Nearest Neighbors
-
15:16
Addition is Exponentially Harder than Counting for Shallow Monotone Circuits
-
55:22
Thinking Algorithmically About Impossibility
-
27:28
The Query Complexity of Correlated Equilibria
-
31:37
Robustness and Separation in Multidimensional Mechanism Design
-
33:01
Revenue Maximization in Interdependent Value Settings
-
34:31
Algorithmic Bayesian Mechanism Design
-
37:51
On Maximizing Revenue for Multi-Item Auctions