This year, several researchers from CREST will present their papers to the International Conference on Machine Learning (ICML) which will occur from July 21st to 27th.

About ICML

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.

ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

CREST’s papers to be presented

1. A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba

2. Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix, Eric Moulines, Alain Oliviero Durmus, Anna Korba

3. Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman

4. A New Branch-and-Bound Pruning Framework for $ell_0$-Regularized Problems
Guyard Theo, Cédric Herzet, Clément Elvira, Ayse-Nur Arslan

5. Active Ranking and Matchmaking, with Perfect Matchings
Hafedh Ferchichi, Matthieu LERASLE, Vianney Perchet

6. Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet

7. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan, Sona Hunanyan, Arnak Dalalyan, Tigran Galstyan, Arshak Minasyan

8. On a Neural Implementation of Brenier’s Polar Factorization
Nina Vesseron, Marco Cuturi

Click here for more information about the conference.