**Mert Pilanci**

Ph.D. Student, Electrical Engineering and Computer Science

University of California Berkeley

OFFICE: 450 SDH

Email: mert(at)eecs.berkeley.edu

**CV**** (1/2014)**

**I'm a Ph.D. student at UC Berkeley, advised by ****Prof. Laurent El Ghaoui** and **Prof. Martin Wainwright. **

**This year my research is supported by a ****Microsoft Research PhD Fellowship.**

**Research Interests:** Large Scale Optimization, Machine Learning and Big Data, Signal Processing , Compressed Sensing, Information Theory and Polar Coding

**Publications**** **

** M. Pilanci, M.J. Wainwright, L. El Ghaoui ****"Sparse learning via Boolean relaxations" **** Mathematical Programming, March 2015.
**

**Y. Yang, M. Pilanci, M.J. Wainwright ****"Randomized sketches for kernels: Fast and optimal non-parametric regression, arXiv:1501.06195" **** submitted to Annals of Statistics, 2015.
**

**M. Pilanci, M.J. Wainwright ****"Iterative Hessian sketch: Fast and accurate solution
approximation for constrained least-squares, arXiv:1411.0347" **** submitted to Journal of Machine Learning Research, 2014
**

**M. Pilanci, M.J. Wainwright ****"Randomized Sketches of Convex Programs with Sharp Guarantees, arXiv:1404.7203" **** submitted to IEEE Trans. Information Theory, 2014
**

**M. Pilanci, M.J. Wainwright ****"Randomized Sketches of Convex Programs with Sharp Guarantees" **** IEEE International Symposium on. Information Theory", (ISIT 2014)
**

**M. Pilanci, L. El Ghaoui, V. Chandrasekaran, ****“Recovery of Sparse Probability Measures via Convex Programming”**, Neural Information Processing Systems (NIPS 2012)

**M. Pilanci, L. El Ghaoui, V. Chandrasekaran “Guaranteed Sparse Optimization on the Probability Simplex via Convex Programming”, Bay Area Machine Learning Symposium (BayLearn 2012)**

**M. Pilanci, O. Arikan, M.C. Pinar, ****"Structured Least Squares Problems and Robust Estimators"****, IEEE Trans. Signal Process., vol 58, issue 5, pp 3912 – 3915, 2010.**

**M. Pilanci, O. Arikan, E. Arikan, "Polar Compressive Sampling" Accepted to DEU Journal of Science and Engineering **

**M. Pilanci, O. Arikan, ****”Recovery of Sparse Perturbations in Least Squares Problems”****. , IEEE Int. Conf. Acoust. Speech Sign. Processing (ICASSP), pp 260 – 263, 2011**

**A.C. Gurbuz, M. Pilanci, O. Arikan , ****“Expectation Maximization Based Matching Pursuit”**** IEEE Int. Conf. Acoust. Speech Sign. Processing (ICASSP), 2012.**

**M. Pilanci, O. Arikan, E. Arikan, ****"Polar Compressive Sampling: A Novel Technique Using Polar Codes"**** Signal Processing and Communications Applications Conference, 2010 IEEE 18th. (Best Paper Award)**

**M. Pilanci, O. Arikan, B. Oguz, and M.C. Pinar, ****“Structured Least Squares with Bounded Data Uncertainties”,**** IEEE Int. Conf. Acoust. Speech Sign. Processing (ICASSP), pp 3261 – 3264, 2009.**

**A.C. Gurbuz, M. Pilanci, O. Arikan ****“Sparse Signal Reconstruction with Ellipsoid Enlargement”**** Signal Processing and Communications Applications Conference, 2011 IEEE 19th. **

**M. Pilanci, O. Arikan, B. Oguz, and M.C. Pinar, ****“A novel technique for a linear system of equations applied to channel equalization,”**** in Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th, 2009.**

**M. Pilanci, O. Arikan, ****"Compressed Sensing and Adaptive Multipath Estimation"****, Signal Processing and Communications Applications Conference, 2010 IEEE 18th.**

**M.B. Guldogan, M. Pilanci, O. Arikan, ****"Compressed Sensing on Ambiguity Function Domain for High Resolution Detection"****, Signal Processing and Communications Applications Conference , 2010 IEEE 18th**

**Talks**** **

**"Sketching Large Scale Convex Quadratic Programs", SIAM Conference on Optimization 2014, San Diego, CA**

** “Guaranteed Sparse Optimization on the Probability Simplex via Convex Programming”, Bay Area Machine Learning Symposium (BayLearn 2012)**

**"Polar Compressive Sampling: A Novel Technique Using Polar Codes" Signal Processing and Communications Applications Conference, 2010 IEEE 18th**

**"Compressed Sensing and Adaptive Multipath Estimation", Signal Processing and Communications Applications Conference, 2010 IEEE 18th.**