- 08/19/14: Komlos conjecture, Gaussian correlation conjecture, and a bit of machine learning

- 06/25/14: A zest of number theory

- 06/21/14: Probability in high dimensions

- 05/16/14: Theory of convex optimization for machine learning

- 04/21/14: COLT 2014 accepted papers

- 03/30/14: On the influence of the seed graph in the preferential attachment model

- 03/06/14: Nesterov’s Accelerated Gradient Descent for Smooth and Strongly Convex Optimization

- 02/01/14: short review of ITCS 2014

- 01/14/14: One year of blogging

- 12/12/13: A good NIPS!

- 11/23/13: The hunter and the rabbit

- 10/21/13: 5 announcements

- 09/22/13: First Big Data workshop at the Simons Institute

- 09/02/13: First week of activity at the Simons Institute

- 08/27/13: Random-Approx 2013

- 07/18/13: Two summer readings on Big Data and Deep Learning

- 06/22/13: ICML and isotropic position of a convex body

- 06/17/13: COLT (with bombs, deep learning and other exciting stuff)

- 06/08/13: Embeddings of finite metric spaces in Hilbert space

- 02/05-05/17/13: ORF523: The complexities of optimization (series of posts)

- 01/19/13: Clique number of random geometric graphs in high dimension (see also Proof of the lower bound)

- 01/13/13: Welcome (with random graphs) – gives the size of the largest clique in an Erdös-Rényi (see also An unpleasant calculation?)