Theory and Algorithms in Graph-based Learning

September 14 - 18, 2020

Harnessing the Continuum for Big Data: Partial Differential Equations, Calculus of Variations, and Machine Learning

Program Application

Content

Overview

Advisory:

Please note that due to the current travel restrictions, the Fall 2020 workshops will be held virtually by Zoom.

Poster:

WS9.14-18.20_Poster.pdf

Organizers:

Andrea Bertozzi	University of California, Los Angeles
Jeff Calder	University of Minnesota, Twin Cities
Mark Hsiao	Netflix, Inc
Andrey Lokhov	Los Alamos National Laboratory
Matthew Thorpe	University of Manchester

Graph-based learning techniques have seen a wide range of applications in machine learning. Many forms of data are naturally modeled as a graph, such as networks of social media users, databases of images, states of large physical and biological systems, or collections of DNA sequences. Graph structure encodes interdependencies among constituents and provides for a convenient representation of the high-dimensional data. Patterns in the graph structure can be used to inform the design of scalable, graph-based learning algorithms in semi-supervised and unsupervised settings that deal with a limited amount of labeled information.

This workshop will explore recent theoretical advances in graph-based learning and the opportunities they present for improving the performance and scalability of algorithms while reducing the cost associated with labeling data.

Schedule

Tentative List of Speakers

Angelica Aviles-Rivero (University of Cambridge) (confirmed)
Zach Boyd (University of North Carolina, Chapel Hill) (confirmed)
Guy Bresler (Massachusetts Institute of Technology) (confirmed)
Leon Bungert (Friedrich-Alexander-Universität Erlangen-Nürnberg) (confirmed)
Scott Chen (Twitter)
Heng-Tze Cheng (Google Inc.)
Ehtsham Elahi (Netflix, Inc)
Jalal Fadili (École Nationale Supérieure d'ingéniurs de Caen & Centre d Recherche (ENSICAEN)) (confirmed)
Nicolas Garcia Trillos (University of Wisconsin, Madison) (confirmed)
Franca Hoffmann (California Institute of Technology) (confirmed)
Adam Klivans (The University of Texas at Austin)
Jure Leskovec (Stanford University) (confirmed)
Yifei Lou (University of Texas at Dallas) (confirmed)
Vince Lyzinski (University of Maryland) (confirmed)
Simon Masnou (Université Claude-Bernard (Lyon I)) (confirmed)
Ankur Moitra (Massachusetts Institute of Technology) (confirmed)
Ekaterina Rapinchuk (Michigan State University) (confirmed)
Tim Roith (Friedrich-Alexander-Universität Erlangen-Nürnberg) (confirmed)
Michaela Rombach (University of Vermont) (confirmed)
Carola Schoenlieb (University of Cambridge (Cambridge, GB)) (confirmed)
Daniel Sussman (Boston University) (confirmed)
Marc Vuffray (Los Alamos National Laboratory) (confirmed)

Participants

Name	Department	Affiliation
Angelica Aviles-Rivero	Department of Pure Mathematics & Mathematical Statistics	University of Cambridge
Andrea Bertozzi	Department of Mathematics	University of California, Los Angeles
Zach Boyd	Center for Applied Mathematics	University of North Carolina, Chapel Hill
Guy Bresler	Department of Electrical Engineering and Computer Science	Massachusetts Institute of Technology
Leon Bungert	Department of Mathematics	Friedrich-Alexander-Universität Erlangen-Nürnberg
Jeff Calder	School of Mathematics	University of Minnesota, Twin Cities
Jalal Fadili	Department of Computer and Information Science	École Nationale Supérieure d'ingéniurs de Caen & Centre d Recherche (ENSICAEN)
Nicolas Garcia Trillos	Department of Statistics	University of Wisconsin, Madison
Franca Hoffmann	Department of Computing and Mathematical Sciences	California Institute of Technology
Jure Leskovec	Department of Computer Science	Stanford University
Andrey Lokhov	Theoretical Division	Los Alamos National Laboratory
Yifei Lou	Department of Mathematical Sciences	University of Texas at Dallas
Vince Lyzinski	Department of Mathematics	University of Maryland
Simon Masnou	Institute Camille Jordan	Université Claude-Bernard (Lyon I)
Ankur Moitra	Department of Mathematics	Massachusetts Institute of Technology
Ekaterina Rapinchuk	Department of Mathematics and CMSE	Michigan State University
Tim Roith	Department of Mathematics	Friedrich-Alexander-Universität Erlangen-Nürnberg
Michaela Rombach	Department of Mathematics and Statistics	University of Vermont
Carola Schoenlieb	Department of Applied Mathematics and Theoretical Physics (DAMTP)	University of Cambridge (Cambridge, GB)
Daniel Sussman	Department of Mathematics & Statistics	Boston University
Adama Tandia	Department of Modeling and Simulation	Corning Incorporated
Matthew Thorpe	Department of Mathematics	University of Manchester
Marc Vuffray	Theoretical Division	Los Alamos National Laboratory
Yi Zhang	Department of Mathematics & Statistics	University of North Carolina, Greensboro