NewsPast Workshops
Midwest Optimization and Statistical Learning Conference 2022
May 19th, 2022
Allen Center at Northwestern University
2169 Campus Drive, Room 140
Evanston, IL 60208
The Midwest Optimization & Statistical Learning Conference is a biannual conference series that brings together leaders in the field of optimization and machine learning to present and discuss cutting-edge research. Northwestern University was proud to host MO&S 2022 alongside our co-sponsors at the University of Wisconsin - Madison. Participating institutions include:
- Argonne National Laboratory
- University of Chicago
- University of Michigan
- Northwestern University
- Toyota Technological Institute at Chicago
- University of Wisconsin-Madison
Speakers:
Xinyu Fei, University of Michigan
Carla Michini, University of Wisconsin-Madison
Kibaek Kim, Argonne National Laboratory
Brian Bullins, Toyota Technological Institute at Chicago
Haihao Lu, University of Chicago
Zhaoran Wang, Northwestern University
Tamara Kolda, mathsci.ai and Northwestern University
The 11th US - Mexico Workshop on Optimization and its Applications
January 8th - 12th, 2018
Workshop Themes
- Derative-Free Optimization
- Nonconvex Optimization
- Machine Learning
- Large-scale and Stochastic Optimization
- Complementarity and Integer Programming
ParticIpants
Amir Ali Ahmadi
Amirali Farid Alizadeh
Serhat Aybat
Albert Berahas
Jose Blanchet
Paul Boggs
Raghu Bollapragada
Richard Byrd
Frank E. Curtis
Alexandre d'Aspremont
Robert Fourer
David M. Gay
Hiva Ghanbari
Philip Gill
Donald Goldfarb
Clovis Gonzaga
Oktay Gunluk
Jorge More
Jorge Nocedal
Alejandra Pena Ordieres
Michael Overton
Daniel P. Robinson
Mohammadreza Samadi
Michael Saunders
Katya Scheinberg
David Shanno
Michael J. Todd
Andreas Waechter
Zaiwen Wen
Stefan Wild
John Wright
Ming Yan
Yinyu Ye
Wotao Yin
Workshop Program
Abstracts
Presentation Slides
Amirali Farid Alizadeh
Serhat Aybat
Raghu Bollapragada
Richard Byrd
Frank E. Curtis
Alexandre d'Aspremont
Robert Fourer
David M. Gay
Hiva Ghanbari
Philip Gill
Donald Goldfarb
Jorge Nocedal
Michael Overton
Daniel P. Robinson
Mohammadreza Samadi
Michael Saunders
Katya Scheinberg
Michael J. Todd
Andreas Waechter
Stefan Wild
Yinyu Ye
Wotao Yin
Workshop Committee
Katya Scheinberg
Harvey E. Wagner Endowed Chair Professor
Department of Indistrial and Systems Engineering at Lehigh University
katyas@lehigh.edu
Jorge Nocedal
David A. and Karen Richards Sachs Professor
Industrial Engineering and Management Sciences
Chair of Industrial Engineering and Management Sciences
Northwestern University: McCormick School of Engineering
nocedal@ece.northwestern.edu
Oktay Gunluk
Area Head, Mathematical Optimization and Algorithms
T. J. Watson Research Center, IBM
gunluck@us.ibm.com
Garud Iyengar
Department Chair and Professor
The Center for Financial Engineering
Columbia University
garud@ieor.columbia.edu
Zaiwen Wen
Beijing International Center for Mathematical Research (BICMR)
Peking University
wendouble@gmail.com
Wotao Yin
Professor
Department of Mathematics
UCLA
wotaoyin@math.ucla.edu
Workshop on Optimization and Machine Learning
May 18, 2017
Northwestern University
Kellogg Conference Center
340 E Superior St, Chicago, IL 60611
Conference Agenda including Abstracts for Workshop Speakers and Poster Session Participants
Program Overview
9:30-10:00am Breakfast available and brief welcome
10:00-10:30am John Lafferty
10:30-11:00am Aravindan Vijayaraghavan
11:00-11:30am Srinadh Bhojanapalli
11:30-12:00pm Rina Foygel Barber
12:00-1:30pm Lunch (Room 440/540)
1:30-2:00pm Rob Nowak
2:00-2:30pm Becca Willet
2:30-3:00pm Break
3:00-3:30pm Prasanna Balaprakash
3:30-4:00pm Jorge Nocedal
4:00-5:30pm Poster Session
6:00pm Dinner at Quartino's
