A workshop on future of computation
Photo by Chris Karidis on Unsplash
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.
We are very grateful to the Rice Global Paris Center for their generous grant, which makes this workshop possible.