Inverse Problems in Machine Learning

Inverse Problems in Machine Learning will be held February 9-11, 2018 in Pasadena, California, USA, on the campus of the California Institute of Technology.   Co-organized by Lorenzo Rosasco and Andrew Stuart, the meeting aims to bring together researchers interested in the computational and mathematical aspects of the inverse problems that arise in machine learning.



Speakers

Agenda

Location

Accommodation

Travel

Contact


Speakers


Jens Behrmann, University of Bremen
Misha Belkin, Ohio State University
Andrea Bertozzi, UCLA
Cristoph Brune, University of Twente
Venkat Chandrasekaran, California Institute of Technology
Pratik Chaudhari, UCLA
Nicolas Flammarion, UC, Berkeley
Rémi Gribonval, Inria
Eldad Haber, University of British Columbia
Jiequn Han, Princeton University
Dirk Lorenz, TU Braunschweig
Xiyang Luo, UCLA
Mauro Maggioni, Johns Hopkins University
Michael Mahoney, UC, Berkeley
Hrushikesh Mhaskar, Claremont Graduate University
Adam Oberman, McGill University
Stanley Osher, UCLA
Braxton Osting, University of Utah
Sergiy Pereverzyev, Jr., University of Innsbruck
Lorenzo Rosasco, Massachusetts Institute of Technology
Johannes Schmidt-Hieber, Leiden University
Dejan Slepcev, Carnegie Mellon University
Stefano Soatto, UCLA/AWS
Bharath Sriperumbudur, Pennsylvania State University
Andrew Stuart, California Institute of Technology

Agenda


Friday, February 9

Saturday, February 10

Sunday, February 11


Location

The workshop will be held in the Annenberg Center for Information and Technology.

Campus Map


Accommodation


Speaker lodging will be provided at the:

Hilton Pasadena
168 S Los Robles Ave.
Pasadena, CA 91101
626.577.1000

IMPORTANT: We will book the rooms with the hotel. To make or adjust a reservation, please contact Jennifer Wofford, jwofford@caltech.edu.

Travel





Airports

LAX

The closest international airport to Pasadena is LAX (Los Angeles International Airport). This is likely to be the best option for most international travelers, and may be preferable for domestic travelers as well because it offers the widest range of flights.

ONT

A second international airport is ONT (Ontario International Airport). This airport is smaller and easier to get in and out of, but it is farther away than LAX. However, if you are planning on renting a car, then ONT may be an option for you, and flights and car rentals may be less expensive than via LAX.

SNA

A third international airport is SNA (John Wayne Airport). SNA is further away than LAX, and during peak travel times, the main highway (I5) between SNA and Pasadena is extremely clogged with traffic. It is best to avoid the roads completely in the time ranges 07:0009:00 and again 15:0020:00. Also, the highways immediately around SNA are somewhat convoluted; it's a good idea to plan your route ahead of time.

BUR

For domestic flights, a fourth airport to consider is BUR (Bob Hope Airport). It is by far the closest airport to Pasadena, but serves only a limited number of airlines. (If you fly Southwest Airlines, however, it is probably your best bet.)

Contact


Jennifer Wofford
jwofford@caltech.edu

Caltech
MC 305-16
Pasadena, CA 91125
USA