April 14-16, 2025
Online
https://waldo-workshop.github.io/2025.html

On behalf of the organizers – Guy Blanc, Quanquan Liu, Shivam Nadimpalli, Samson Zhou – we would like to invite you to the Workshop on Algorithms for Large Data (Online) 2025, which will be from Monday, April 14th to Wednesday, April 16th. We are pleased to host a fantastic set of speakers giving research talks and due to generous funding from SIGACT, registration is free and all are welcome! Please register by April 7, 2025 for access to the virtual platform. In addition, we will also feature poster sessions on Monday and Wednesday. For more details, please visit https://waldo-workshop.github.io/2025.html. We hope you will join us!

March 17-21, 2025
University of Warwick
https://warwick.ac.uk/fac/sci/maths/research/events/2024-2025/algebraiccomplexity/

Algebraic Complexity Theory is a vibrant field that has been seeing a tremendous amount of activity in the recent years. Its classical questions have been interwoven with deep questions from algebraic geometry, invariant theory, and representation theory, with recent exciting connections to metacomplexity and proof complexity. The workshop brings together experts from these fields to discuss the current state of the art, discover new connections, and set the directions for the future. Each plenary speaker will explain a recent result and break down its main ideas to a level that is accessible for the mathematically diverse audience. Remote participation via MS Teams is possible.

July 21-23, 2025
New Brunswick
http://dmac.rutgers.edu/events/details?eID=3156

This workshop titled, “Hardness of Approximation in P” is part of a larger DIMACS Special Focus on Fine-Grained Complexity. The workshop will feature multiple tutorials and is primarily aimed at researchers and graduate students in complexity theory. Limited funding is also available for students. Registration is free but required.

March 31 – April 4, 2025
Ruhr University Bochum, Germany
https://qi.rub.de/wact

The 8th edition of the Workshop on Algebraic Complexity Theory will be held on March 31-April 4, 2025 at Ruhr University Bochum, Germany. This workshop will bring together experts and junior researchers in the vibrant field of algebraic complexity theory and related topics. Attendance is free of charge, but registration is required. Please see the website for more information.

August 2, 2025
Vanderbilt University in Nashville, Tennessee
https://fsmlims.wixsite.com/fsml25

Submission deadline: March 2, 2025

The Frontiers in Statistical Machine Learning (FSML) Workshop is a one-day event designed to bring together researchers at the forefront of statistical machine learning. Taking place on August 2nd, 2025, at Vanderbilt University in Nashville, Tennessee, this workshop is conveniently scheduled adjacent to JSM 2025 and is proudly sponsored by IMS. FSML aims to foster collaboration and exchange of ideas on cutting-edge topics in machine learning, including the science of deep learning and statistical learning from heterogeneous data sources and generalization. With a dynamic format that features peer-reviewed poster presentations, and insights from leading ML experts, this workshop offers an excellent platform for advancing statistical practices through innovative ML algorithms.