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