Columbia HomeOptimization and Statistical Learning Workshop
Thursday, April 3rd - Friday, April 4th, 2025
Time: 9am - 5pm
Location: Mudd 303
Description
The goal of this workshop will be to present recent developments at the intersection between optimization and statistics. These will cover topics such algorithmic foundations, sampling theory, Bayesian methods, high dimensional statistics and machine learning theory.
(Note: We have limited funds available for external PhD students who wish to present in the poster session.)
Deadline will be: Friday, March 14th, 2025
Speakers
- Mateo Diaz (Johns Hopkins University)
- Yaqi Duan (New York University)
- David Dunson (Duke University)
- Vitaly Feldman (Apple Research)
- Jason Klusowski (Princeton University)
- Yue Lu (Harvard University)
- Arya Mazumdar (University of California at San Diego)
- Jeff Miller (Harvard University)
- Mert Pilanci (Stanford University)
- Christian Robert (Paris Dauphine)
- Veronika Rockova (University of Chicago)
- Purna Sarkar (University of Texas at Austin)
- Vasilis Syrgkanis (Stanford University)
- Matus Telgarsky (New York University)
- Christos Thrampoulidis (University of British Columbia)
- Andre Wibisono (Yale University)
- Yuchen Wu (University of Pennsylvania)
Thursday, April 3rd
Book of Abstracts
Location: Mudd Building, 303
Session 1: 10:00-11:00 am (Vitaly Feldman, Christos Thrampoulidis)
Coffee break
Session 2: 11:30-12:30 pm (Yue Lu, Arya Mazumdar)
Lunch break
Session 3: 2:10-3:10 pm (Andre Wibisono, Yuchen Wu)
Coffee break
Session 4: 3:30-4:30 pm (Yaqi Duan, Jason Klusowski)
Poster session: 4:40-6:00 pm , Uris 107
Friday, April 4th
Book of Abstracts
Location: Mudd Building, 303
Session 1: 10:00-11:00 am (Jeff Miller, Christian Robert)
Coffee break
Session 2: 11:30-12:30 pm (David Dunson, Mert Pilanci)
Lunch break
Session 3: 2:10-3:40 pm (Matus Telgarsky, Purna Sarkar, Mateo Diaz)
Coffee break
Session 4: 4:10-5:10 pm (Vasilis Syrgakanis, Veronika Rockova)