CSE251A Project 2: Coordinate Descent for Logistic Regression

In this report, we discuss our attempt to use a better strategy to pick the direction of coordinate descent at each step rather than random selection. At each iteration, we pick the gradient direction with the largest absolute value, and shows that our method outperforms the random coordinate descent in terms of convergence speed.

Yi Rong
Yi Rong
M.S. in CSE

My research interests include Machine Learning, Compilers and PL Design