Lecture 6: (Generalized) Linear-Fractional Program
Gaussian Processes and Fast Matrix-Vector Multiplies
Kernel Methods
Dynamic Programming and Stochastic Control
A Tour of Modern "Image Processing"
Lecture 10: Applications Section Of The Course
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
A Flexible Model for Count Data: The COM-Poisson Distribution
Bringing Structure to Text: Mining Phrases, Entity Concepts, Topics, and Hierarchies
Lock-Free Approaches to Parallelizing Stochastic Gradient Descent