Taught by: Anima Anandkumar, UC Irvine (July 21, 2016)
Slides: Guaranteed Machine Learning Using Tensor Methods (PDF)
Description: Guaranteed machine learning using tensor methods, with examples of learning probabilistic models and representations.
Additional Resources:
- Introduction to Tensor Methods resource page
- Nonconvex Optimization: Challenges and Recent Successes, tutorial presented by Anima Anandkumar at the 2016 International Conference on Machine Learning
- Mhaskar, H., Liao, Q., and Poggio, T. (2016) “Learning Functions: When Is Deep Better than Shallow?” CBMM Memo 45.
- MATLAB code to implement the power method for tensor decomposition
- C++ code for topic modeling with the method of moments
- GitHub: Spark code to implement the spectral learning method for learning a Latent Dirichlet Allocation (LDA) topic model
