Electrical and Computer Engineering
Wireless Networking and Communications Group
University of Texas, Austin
lastname “at” mail “dot” utexas “dot” edu
Optimization and numerical linear algebra
03/2015 New paper on sampling arbitrary tensors for low-complexity spectral approximation and completion: A New Sampling Technique for Tensors
12/2014 Anastasios Kyrillidis joins our group as a postdoc. Welcome Tasos !
12/2014 New papers on provable non-convex methods for matrix factorization and recovery:
—- Non-convex Robust PCA in NIPS 2014
—- Tighter Low-rank Approximation via Sampling the Leveraged Element in SODA 2015
—- Completing Any Low-rank Matrix, Provably to appear in JMLR
11/2014 My former student, Siddhartha Banerjee, now a postdoc at Stanford, is on the job market.
08/2014 My third PhD student, Praneeth Netrapalli defends his thesis; joins as a postdoc at Microsoft Research New England.
09/2013 New preprint: Alternating Minimization for Mixed Linear Regression
08/2013 Phase Retrieval using Alternating Minimization accepted to NIPS 2013.
06/2013 My second PhD student, Siddhartha Banerjee successfully defends his thesis, and lands a postdoc in Stanford; congrats Sid !
06/2013 New preprints: Phase Retrieval using Alternating Minimization, and Coherent Matrix Completion.
02/2013 New paper: Low-rank Matrix Completion using Alternating Minimization, accepted to Symposium on Theory of Computing, 2013.
02/2013 New paper: Online Load Balancing Under Graph Constraints, accepted to Sigmetrics 2013.
01/2013 Announcing: Simons postdoctoral fellowships at UT Austin. A new multi-year program for postdocs doing research in the mathematics of information (broadly defined). Do apply !
10/2012 NIPS 2012 paper: Clustering sparse graphs
09/2012 Allerton 2012 papers:
Online load balancing and correlated randomness
Greedy learning of graphical models with small girth
05/2012 First PhD student Ali Jalali graduates. Congrats Ali !
05/2012 Co-teaching, with Constantine Caramanis, a new two-class sequence on Large-scale Optimization and Learning in Fall 2012, Spring 2013.
04/2012 New paper: Learning Markov Graphs unto Edit Distance to appear in ISIT 2012.
04/2012 New paper: Learning the Dependence Graph of Time Series with Latent Factors to appear in ICML 2012.
04/2012 New paper: Learning the Graph of Epidemic Cascades to appear in SIGMETRICS 2012.
01/2012 New paper: On the Effect of Channel
Fading on Greedy Scheduling to appear in INFOCOM 2012.