Applied Algorithms for Machine Learning
A workshop on future of computation
Date: June 10-12, 2024
Location: Paris, France
Registration for the event is now closed. Thank you for your interest.
Schedule
Travel Information
Registration for the event is now closed. Thank you for your interest.
Schedule
Travel Information
Photo by Chris Karidis on Unsplash
About
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.
Speakers
Francis Bach
INRIA
Elias Bareinboim
Columbia
Volkan Cevher
EPFL
Artur Czumaj
University of Warwick
Alhussein Fawzi
Google DeepMind
Quanquan Gu
UCLA
MohammadTaghi HajiAghayi
University of Maryland
Piotr Indyk
MIT
Sandra Kiefer
Oxford
Claire Monteleoni
Boulder and INRIA
Éric Moulines
CMAP, École Polytechnique
Jelani Nelson
UC Berkeley
Kobbi Nissim
Georgetown
Pablo Parrilo
MIT
Peter Richtarik
King Abdullah University of
Science and Technology
Mikkel Thorup
University of Copenhagen
Organizers
Our sponsers
We are very grateful to our sponsers for their generous grant, which makes this workshop possible.