Optimization and control at arXiv
Reproducing Kernel Hilbert Spaces (RKHS) (Slides)
Stochastic Variance Reduced gradient algorithm (SVRG) (Link 1) (Link 2)
Stochastic Gradient Descent (SGD) using Importance Sampling
Submodular Optimization
Gaussian Processes
Useful Inequalities
Link between Kernel Regression and Gaussian Process (Slides)
Technical Report
Technical Report
Understanding different classification losses (Link 1) (Link 2)
JMLR
How to give an engaging research talk (Thanks to Dr. Anupam Gupta)
Why and What's of PhD
Cross-validation