Walid Krichene

Ph.D. candidate, Electrical Engineering and Computer Sciences, UC Berkeley.


I work on distributed learning and optimization. I am advised by Prof. Alex Bayen. I also work with Prof. Peter Bartlett, and with Prof. Shankar Sastry's group as part of FORCES (Foundations Of Resilient CybEr-physical Systems). My research interests lie at the intersection of control theory, learning theory and optimization.

My previous research experience includes work with the California Center for Innovative Transportation (CCIT) and the Partners for Advanced Transportation Technology (PATH) at Berkeeley, the ORESTE group at INRIA in France. My industry experience includes internships at Google (2009) and Facebook (2013), and a year spent in the CTR prediction team at Criteo Labs (2011).

Here, you can find a description of my research projects, a list of my publications and previous work I did.


  1. I will be giving a talk at the IPAM in UCLA on distributed learning, estimation and control for routing (November 2015).

  2. Our paper on accelerated mirror descent in continuous and discrete time is selected for a spotlight presentation at NIPS (December 2015).
    The supplementary material contains proofs and videos.
    I recently gave a longer talk on the topic. Here are the slides.

  3. I will be giving a talk at the KAUST conference on Human-Machine Networks and Intelligent Infrastructure (October 6, 2015). Slides

  4. I will be presenting Syrine's work on heterogeneous routing using stochastic mirror descent at Allerton (September 30, 2015). Slides

  5. I will be presenting our work on efficient Bregman projections at CDC 2015 in Osaka (December 2015).

  6. I was awarded the Leon O. Chua Award for outstanding achievement in nonlinear science!

  7. Benjamin Drigh├Ęs received the Best Research Internship award (Prix d'Option) from Ecole Polytechnique, on our work on distributed learning! Congratulations Benjamin!

  8. I was awarded the Berkeley Outstanding Graduate Student Instructor Award for MFE 230P (Optimization Methods for Finance, part of the Masters of Financial Engineering at the Haas School of Business).

  9. I was awarded the EECS Distinguished Student Teaching Award for EE128 (Feedback control systems), together with Max Balandat. This was a fun class, and Max was a great person to work with!

  10. I put some videos produced by students on my teaching page, on the inverted pendulum and magnetic levitation labs. Check them out here!


Walid Krichene, Ph.D. candidate.
U.C. Berkeley, 652 Sutardja Dai Hall.
Berkeley CA 94720–1710

Email: walid@eecs