August 17-August 18 : DavidFest and YishayFest

Organizers:

• Avrim Blum (TTIC)
• Lee Cohen (TTIC)

Celebratory / milestone birthday workshops in honor of TTIC’s David McAllester, and friend-of-TTIC Yishay Mansour. YishayFest will be August 17 and DavidFest will be August 18. The workshops will feature talks by Nina Balcan, Nicolò Cesa-Bianchi, Pedro Felzenszwalb, Shafi Goldwasser, Sham Kakade, Adam Kalai, Haim Kaplan, Michael Kearns, Michael Littman, Mehryar Mohri, Fernando Pereira, Deva Ramanan, Rob Schapire, and Shai Vardi.

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August 21-August 23 : NSF-TRIPODS Postdoc Workshop

Organizers:

• The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL)

This workshop will bring together postdocs from all the different NSF-TRIPODS institutes. Our plan is to have research talks by postdocs, and panel discussions by faculty and industry researchers on career and other issues. We hope this will be a fun and intellectually-stimulating event as well as a chance to build a TRIPODS postdoc community. Panelists include Pranjal Awasthi (Google NYC), Maryam Fazel (U Washington), Abolfazl Hashemi (Purdue), Piotr Indyk (MIT), Ermin Wei (Northwestern), Becca Willett (UChicago), and Steve Wright (UW-Madison).

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September 8-September 9 : New Frontiers in Federated Learning

Organizers:

• Kumar Kshitij Patel (TTIC)
• Aadirupa Saha (Apple, ML Research)
• Nati Srebro (TTIC)
• Lingxiao Wang (TTIC)
• Zheng Xu (Google)

Federated learning has recently gained significant attention due to its ability to extract insights from sensitive data while mitigating privacy concerns and enabling efficient machine learning. Federated learning prioritizes privacy by keeping data on local devices and sending only model updates to a central server for aggregation, and has found numerous applications in fields such as healthcare, finance, and retail. The primary aim of this workshop is to connect the theoretical underpinnings and practical applications in research on Federated Learning: We will cover multiple areas related to Federated Learning, including Distributed optimization, Privacy, Mechanism Design, and also some topics related to fairness. We also plan to hold brainstorming and mentoring sessions to catalyze new ideas and discuss new starting points, ideas, questions, or applications.

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September 12-September 13 : Midwest Computational Biology Workshop

Organizers:

• Aly Azeem Khan (UChicago)
• Derek Reiman (TTIC)
• Jinbo Xu (TTIC)

The 2023 Midwest Computational Biology Workshop (September 12-13 @ TTIC) will explore emerging topics in the field of computational biology, covering a spectrum of algorithmic and machine learning challenges to address biological questions. The workshop will bring together a wide range of participants from different backgrounds (computer science, biology, medicine) and positions (undergrads, grad students, faculty, industry professionals). By connecting these researchers, the workshop aims to initiate new interdisciplinary interactions and collaborations. The workshop will be organized around three sessions: genomics, immunology and protein structure. Each session will include invited talks about current research and open problems, as well as a discussion period to brainstorm collaborative solutions.

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