What areas do we work in?
A wide array! Here’s a compressed version of the list of topics:
A. Signal Processing
- Compressed sensing
- Non-linear signal recovery
- Model based signal recovery
- Dictionary learning/sparse coding
- Robust principal component analysis
- Matrix completion
- Signal demixing
- Image processing
- Computational photography
B. Machine Learning
- Deep Learning
- Probabilistic graphical models
- Dimensionality reduction/subspace embedding
- Learning theory/VC dimension
C. Coding and Information Theory
- Function computation/Network coding
- Coded Caching
- Map-reduce optimization
D. Optimization
- Convex optimization
- Non-convex optimization
- Distributed optimization
- Stochastic optimization
- Combinatorial optimization
E. Randomized methods in Data Science
- Randomized numerical linear algebra