May 16-17     Chicago, IL

MMLS 2023

Midwest Machine Learning Symposium

Machine Learning Research in the Midwest



About the event

The Midwest ML Symposium aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages. [past events]


When: May 16-17, 2023

Where: Dorin Forum @ UIC [map it]

Sponsors apply

The Midwest ML Symposium offers various opportunities of exposure. In addition to the satisfaction of supporting the regional Machine Learning community, you will be gratefully recognized in various media and materials and have the possibility to more closely engage with the participants.

2023 organizers

Mladen Kolar (co-chair, UChicago), Mesrob Ohannessian (co-chair, UIC), Ian Kash (UIC), Ramya Korlakai Vinayak (UW Madison), Bo Li (UIUC), Daniel J. McDonald (UBC, formerly IU), Andrew Perrault (OSU), Yixin Wang (UMich), Zhaoran Wang (Northwestern), Ermin Wei (Northwestern).

Advisory board

Rob Nowak (chair, UW-Madison), Maxim Raginsky (UIUC), Laura Balzano (UMich), Mikhail Belkin (OSU), Avrim Blum (TTIC), Rebecca Willett (UChicago), Nati Srebro (TTIC), Po-Ling Loh (Cambridge, formerly UW-Madison), Matus Telgarsky (UIUC), Mike Franklin (UChicago).


Plenary Speakers



Anna C. Gilbert
Anna C Gilbert

Yale University

Tara Javidi
Tara Javidi

University of California, San Diego

Sheila McIlraith
Sheila McIlraith

University of Toronto

Noah A. Smith
Noah A Smith

University of Washington


Invited Speakers



Bryon Aragam
Bryon Aragam

University of Chicago, Booth School of Business

Lu Cheng
Lu Cheng

University of Illinois, Chicago

Michał Dereziński
Michał Dereziński

University of Michigan

Kartik Goyal
Kartik Goyal

Toyota Technological Institute at Chicago

Feng Ruan
Feng Ruan

Northwestern University

Ju Sun
Ju Sun

University of Minnesota

Shenlong Wang
Shenlong Wang

University of Illinois, Urbana-Champaign

Qiaomin Xie
Qiaomin Xie

University of Wisconsin, Madison

Fei Xue
Fei Xue

Purdue University

Xueru Zhang
Xueru Zhang

The Ohio State University


MMLS 2023 Call for Posters



We invite submissions of a one-page summary on any topic related to machine learning for the poster session to be held during the symposium.

Eligibility: We welcome abstracts from all members of machine learning community. However, only submissions with first author as an undergraduate or a graduate student will be considered for the Best Student Poster Award.

Submission Guidelines: Submissions can be at most one page long, not including references. Do not include any supplementary files along with your submission. Posters based on papers previously published, or accepted for publication, etc., are permitted. The authors can add optional links to full papers/working papers/extended abstracts available in public domain such as arXiv, or open-source proceedings. However, please ensure that the abstracts are stand-alone, as reviewers will not review extra material.

Submission Site: https://cmt3.research.microsoft.com/MMLS2023

Deadline for Submission: March 31

Notification of Accepted Posters: April 16

Best Student Poster Award: A small number of eligible submissions with student first authors will be selected as finalists. The finalists will be invited to give a short (3–5 min) spotlight presentation on the work. Judges will take into consideration the abstract, the poster, the spotlight presentation, as well as the presentation during the poster session in determining the winners.

All accepted posters will be presented at MMLS on May 16–17.


Platinum sponsors





Gold sponsors





Silver sponsors





Bronze sponsors





Travel award for underrepresented groups



Support for this travel award has been provided by The Ohio State University through NSF grant CNS-1901057 and AI-EDGE (CNS-2112471).

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Save the date:   May 16-17.

More details coming soon...