How to use stochastic gradient descent with L1-regularization? prox-grad, dual averaging, FRTL

installing standard R packages, custom packages in R, and what to do when cpp compilation fails while installing custom R packages

locality sensitive hashing (LSH)

history of deep learning

count-min sketches (a cool data structure that approximates counts of elements in a set)

style guidelines for python

an introduction to GCC

NLP conferences

simulations of beta (and other) distribution density

evaluating clusterings (a ps version of the paper which I like more)

sequence labeling tutorial

configure; make; make install

step-by-step example for using GDB within Emacs to debug a C or C++ program

gentle tutorial on using valgrind to find memory problems in c++ code

using *screen* to survive dropped ssh connections while running your jobs

productivity tips for using ssh

blacklight frontend machine blacklight.psc.teragrid.org

learning topic models; beyond svd. slides, paper

mit's matrix cookbook

EM tutorial

Why are the objectives of logistic regression and crf models convex?

LaTeX on blogger

git concepts

Eigen: a c++ matrix library