Seminars

Applied Mathematics Department Colloquium - Tor Wager

April 22, 2016

Event Description: Tor D. Wager , Department of Psychology & Neuroscience , University of Colorado at Boulder Location Information: Main Campus - Engineering Classroom Wing ( View Map ) 1111 Engineering DR Boulder, CO Room: 265 Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu

Applied Mathematics Department Colloquium - Radu Craiu

April 15, 2016

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 MCMC sampler can be a complicated affair, especially because of the so-called Containment Condition. Recent theoretical developments...

Applied Mathematics Department Colloquium - R. Tyrell Rockafellar

April 8, 2016

Event Description: R. Tyrell Rockafellar , Department of Mathematics , University of Washington Risk, Optimization and Statistics Uncertainty over the future, even if well supported by statistical information, causes a fundamental difficulty in optimization. Decisions can't pin future "costs" to specific values and are instead limited only to shaping their...

Applied Mathematics Department Colloquium - John K. Hunter

April 1, 2016

Event Description: John Hunter ; Department of Mathematics ; University of California, Davis Nonlinear surface plasmons Surface plasmons (SPs) are electromagnetic surface waves that propagate on the interface between an insulator and a conductor, such as air and gold. At short wavelengths, the frequency of SPs approaches a nonzero constant...

Applied Mathematics Department Colloquium - Mark Ablowitz

March 11, 2016

Friday, March 11, 2016 3:00 PM - 4:00 PM Main Campus - Engineering Classroom Wing - 265 Mark J. Ablowitz, Department of Applied Mathematics, University of Colorado Boulder Nonlinear waves: solitons at age 50 and more… The study of nonlinear waves has had many remarkable discoveries, one of them being...

Applied Mathematics Department Colloquium - Michael Mahoney

March 4, 2016

Friday, March 04, 2016 3:00 PM - 4:00 PM Main Campus - Engineering Classroom Wing - 265 Michael Mahoney ; Department of Statistics ; University of California, Berkeley Column Subset Selection on Terabyte-sized Scientific Data One of the most straightforward formulations of a feature selectionproblem boils down to the linear...

Applied Mathematics Department Colloquium - Rafael Fongillo

Feb. 26, 2016

Friday, February 26, 2016 3:00 PM - 4:00 PM Main Campus - Engineering Classroom Wing - 265 Rafael Frongillo , Department of Computer Science , University of Colorado Boulder Minimizing the Risk of Risk: Computing Risk Measures via Empirical Risk Minimization An important open question in statistics and machine learning...

Applied Mathematics Department Colloquium - Natasha Flyer

Feb. 19, 2016

Event Description: Natasha Flyer , National Center for Atmospheric Research Radial Basis Function-Generated Finite Differences (RBF-FD): New Computational Opportunities in the Geosciences A novel mathematical methodology is presented for modeling a wide array of physics in the geosciences. It based on a mesh-less approach known as radial basis function -generated...

Applied Mathematics Department Colloquium - Laura Grigori

Feb. 12, 2016

Event Description: Laura Grigori , INRIA Paris - Rocquencourt Alpines group, joint with Laboratoire J.L. Lions, UPMC An overview of fast and robust communication-avoiding algorithms In this talk I will discuss one of the main challenges in high performance computing: the increased cost of communication with respect to computation, where...

Department Colloquium - Michael Wakin

Feb. 5, 2016

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 for many high-dimensional signals; such models form the backbone of least-squares signal processing and many common compression techniques...

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