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Activity Details

542 Wed, 8/6/2014, 2:00 PM - 3:50 PM CC-151B
Statistically and Computationally Efficient Estimation — Invited Papers
Section on Statistical Computing
Organizer(s): Dawn B. Woodard, Cornell University
Chair(s): Natesh S. Pillai, Harvard   
2:05 PM Fast Global Convergence of Gradient Methods for High-Dimensional Statistical Recovery Sahand N. Negahban, Yale ; Alekh Agarwal, Microsoft ; Martin Wainwright, University of California, Berkeley
2:30 PM Learning from Heterogeneous Populations Philippe Rigollet, Princeton University
2:55 PM Efficiency of Markov Chain Monte Carlo for Parametric Statistical Models — Natesh S. Pillai, Harvard ; David Dunson, Duke University ; Dawn B. Woodard, Cornell University
3:20 PM Learning Sparsely Used Overcomplete Dictionaries Alekh Agarwal, Microsoft ; Animashree Anandkumar, University of California, Irvine ; Prateek Jain, Microsoft ; Praneeth Netrapalli, University of Texas at Austin ; Rashish Tandon, University of Texas at Austin
3:45 PM Floor Discussion

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