Aaditya Ramdas — aramdas [@] cs [dot] cmu [.] edu
8223 Gates (CMU), Pittsburgh

5th Year Joint PhD Student, Machine Learning and Statistics
School of Computer Science, Carnegie Mellon University

My advisors are Larry Wasserman (Stats) and Aarti Singh (ML).

I will be defending my thesis this summer, and moving to UC Berkeley (Stat+CS) as a postdoc in the fall, working with Martin Wainwright and Michael Jordan. [Curriculum Vitae]

I am organizing (with Nina Balcan, Aarti Singh and Akshay Krishnamurthy) a workshop on Advances in Active Learning: Bridging Theory and Practice at ICML 2015. Please attend and submit (4pg paper)!

In Dec. 2014, I co-organized (with Suvrit Sra, Zaid Harchaoui, Alekh Agarwal, Miro Dudik, Martin Jaggi) a workshop on Optimization for Machine Learning at NIPS 2014. [VIDEOS]

In Nov. 2014, I was the lead organizer (with great help from MLD students) of a full-day Machine Learning Department Student Research Symposium at CMU.

I also organized the CMU's weekly Machine Learning Lunch Seminar for over two years, and also a member of the Statistical ML Theory Group. Contact me if you want to speak at either!