º£½ÇÉçÇø

Event Description:Tor D. Wager, Department of Psychology & Neuroscience, University of Colorado at º£½ÇÉçÇøLocation Information:Main Campus - Engineering Classroom Wing  (View Map) 1111 Engineering DR º£½ÇÉçÇø, CO Room: 265Contact

Event Description:Radu Craiu, Department of Statistical Sciences, University of Toronto Adaptive Strategies for Component-Wise Metropolis-Hastings Adaptive ideas within the MCMC universe are ubiquitous. However, proving the validity of an adaptive

Event Description:R. Tyrell Rockafellar, Department of Mathematics, University of WashingtonRisk, Optimization and Statistics Uncertainty over the future, even if well supported by statistical information, causes a fundamental difficulty in

Event Description:John Hunter; Department of Mathematics; University of California, DavisNonlinear surface plasmons Surface plasmons (SPs) are electromagnetic surface waves that propagate on the interface between an insulator and a conductor, such

Friday, March 11, 2016 3:00 PM - 4:00 PMMain Campus - Engineering Classroom Wing - 265Mark J. Ablowitz, Department of Applied Mathematics, º£½ÇÉçÇøNonlinear waves: solitons at age 50 and more… The study of nonlinear waves has

Friday, March 04, 2016 3:00 PM - 4:00 PMMain Campus - Engineering Classroom Wing - 265Michael Mahoney; Department of Statistics; University of California, BerkeleyColumn Subset Selection on Terabyte-sized Scientific Data One

Friday, February 26, 2016 3:00 PM - 4:00 PMMain Campus - Engineering Classroom Wing - 265Rafael Frongillo, Department of Computer Science, º£½ÇÉçÇø   Minimizing the Risk of Risk: Computing Risk Measures via Empirical

Event Description:Natasha Flyer, National Center for Atmospheric ResearchRadial Basis Function-Generated Finite Differences (RBF-FD): New Computational Opportunities in the Geosciences A novel mathematical methodology is presented for modeling a

Event Description:Laura Grigori, INRIA Paris - Rocquencourt Alpines group, joint with Laboratoire J.L. Lions, UPMCAn overview of fast and robust communication-avoiding algorithms In this talk I will discuss one of the main challenges in high

Event Description:Michael Wakin, Department of Electrical Engineering and Computer Science, Colorado School of Mines   Slepian Sequences and Subspace Models for Signal Processing Low-dimensional subspace models offer a convenient representation