Department of Computer Science | Institute of Theoretical Computer Science | CADMO
Prof. Emo Welzl and Prof. Bernd Gärtner
Mittagsseminar Talk Information |
Date and Time: Monday, April 23, 2012, 12:15 pm
Duration: 30 minutes
Location: OAT S15/S16/S17
Speaker: Hemant Tyagi (EPFL)
We consider the problem of learning multi ridge functions of the form f(x) = g(Ax) from point evaluations of f. We assume that the function f is defined on an l2-ball in Rd, g is twice continuously differentiable, and A is a k x d, rank k matrix, k « d. We leverage recent techniques from low rank matrix recovery and propose a randomized, polynomial-complexity sampling scheme for uniform approximation of such functions. As a consequence we remove the commonly made compressibility assumption on the rows of A in the existing literature. Furthermore we establish the tractability of our scheme when f is a sum of k ridge functions provided f satisfies additional smoothness properties in a neighborhood of the origin.
Upcoming talks | All previous talks | Talks by speaker | Upcoming talks in iCal format (beta version!)
Previous talks by year: 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996
Information for students and suggested topics for student talks
Automatic MiSe System Software Version 1.4803M | admin login