ICML 2022 Accepted Papers

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July 27, 2022

This year marks the thirty-ninth International Conference on Machine Learning (ICML).  Supported by the International Machine Learning Society, ICML is one of the biggest, and most prestigious, academic conferences for artificial intelligence.  This year’s conference took place from July 17th through 23rd at the Baltimore Convention Center, as well as virtually.  This year CAIDA had four members with papers accepted for ICML.  A big congratulations to our members and their teams for their success! You can see the CAIDA papers below, and the remainder of ICML’s selections here.


Accepted Papers Featuring CAIDA Members:

Moshe Eliasof; Eldad Haber; Eran Treister

pathGCN: Learning General Graph Spatial Operators from Paths

Jinkun Lin; Anqi Zhang; Mathias Lécuyer; Jinyang Li; Aurojit Panda; Siddhartha Sen

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments


Davoud Ataee Tarzanagh; Mingchen Li; Christos Thrampoulidis; Samet Oymak

FedNest: Federated Bilevel, Minimax, and Compositional Optimization


Margarita Vinaroz; Mohammad-Amin Charusaie; Frederik Harder; Kamil Adamczewski; Mi Jung Park

Hermite Polynomial Features for Private Data Generation


Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages

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