[Colloquium] Re: REMINDER: 12/2 Research at TTIC: Srinadh Bhojanapalli, TTIC

[Mary Marre via Colloquium]

When:     Friday, December 2nd at noon



Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526



Who:       Srinadh Bhojanapalli; TTIC





Title: Dropping Convexity for Faster Low Rank Recovery



Abstract: Low rank recovery is an important problem in machine learning
with applications in dimensionality reduction,  recommendation systems,
Euclidean distance localization, multi-task learning,  quantum state
tomography and drug design.  Convex optimization methods such as nuclear
norm minimization have been successful in recovering low rank solutions and
there has been lot of research studying its statistical properties.
However in practice, local search methods such as alternating minimization
and stochastic gradient descent on the factored space have been the popular
choice for solving such problems due to their low computational complexity.



In the past couple of years there has been research studying such
non-convex methods and trying to bridge this gap between theory and
practice. In this talk, I will first describe our work studying the
effectiveness of gradient descent for recovering low rank solutions and
describe its convergence properties. Later, I will talk about the global
geometric properties of certain low rank recovery problems that help in
recovering the global optima of these non-convex problems.




************************************************************
****************************************************

*Research at TTIC Seminar Series*

TTIC is hosting a weekly seminar series presenting the research currently
underway at the Institute. Every week a different TTIC faculty member will
present their research.  The lectures are intended both for students
seeking research topics and adviser, and for the general TTIC and
University of Chicago communities interested in hearing what their
colleagues are up to.

To receive announcements about the seminar series, please subscribe to the
mailing list: https://groups.google.com/a/ttic.edu/group/talks/subscribe

Speaker details can be found at: http://www.ttic.edu/tticseminar.php.

For additional questions, please contact Nathan Srebro at nati at ttic.edu
<mcallester at ttic.edu>




Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*

On Thu, Dec 1, 2016 at 12:16 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Friday, December 2nd at noon
>
>
>
> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>
>
>
> Who:       Srinadh Bhojanapalli; TTIC
>
>
>
>
>
> Title: Dropping Convexity for Faster Low Rank Recovery
>
>
>
> Abstract: Low rank recovery is an important problem in machine learning
> with applications in dimensionality reduction,  recommendation systems,
> Euclidean distance localization, multi-task learning,  quantum state
> tomography and drug design.  Convex optimization methods such as nuclear
> norm minimization have been successful in recovering low rank solutions and
> there has been lot of research studying its statistical properties.
> However in practice, local search methods such as alternating minimization
> and stochastic gradient descent on the factored space have been the popular
> choice for solving such problems due to their low computational complexity.
>
>
>
> In the past couple of years there has been research studying such
> non-convex methods and trying to bridge this gap between theory and
> practice. In this talk, I will first describe our work studying the
> effectiveness of gradient descent for recovering low rank solutions and
> describe its convergence properties. Later, I will talk about the global
> geometric properties of certain low rank recovery problems that help in
> recovering the global optima of these non-convex problems.
>
>
>
>
> ************************************************************
> ****************************************************
>
> *Research at TTIC Seminar Series*
>
> TTIC is hosting a weekly seminar series presenting the research currently
> underway at the Institute. Every week a different TTIC faculty member will
> present their research.  The lectures are intended both for students
> seeking research topics and adviser, and for the general TTIC and
> University of Chicago communities interested in hearing what their
> colleagues are up to.
>
> To receive announcements about the seminar series, please subscribe to the
> mailing list: https://groups.google.com/a/ttic.edu/group/talks/subscribe
>
> Speaker details can be found at: http://www.ttic.edu/tticseminar.php.
>
> For additional questions, please contact Nathan Srebro at nati at ttic.edu
> <mcallester at ttic.edu>
>
>
>
>
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 504*
> *Chicago, IL  60637*
> *p:(773) 834-1757 <(773)%20834-1757>*
> *f: (773) 357-6970 <(773)%20357-6970>*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
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