June 10-12, 2024
Paris, France
https://aaforml.com
In this workshop, we present a series of talks on the intersection between applied algorithms and machine learning, two indispensable areas of future computation. We will cover a range of specific topics, including randomized and approximation algorithms; large-scale machine learning; distributed and federated learning; learning-augmented algorithms; algorithms for fairness and differential privacy; sketching algorithms; and adversarially robust learning. The workshop aims to bring together researchers from both fields to foster collaboration and exchange ideas.
CS Theory Events 