ICML 2020 Accepts 7 Papers by CAIDA Members

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July 14, 2020

The thirty-seventh International Conference on Machine Learning (ICML) has selected 7 papers by CAIDA members for this year’s conference, occurring virtually from July 12th - 18th, 2020.  Supported by the International Machine Learning Society, ICML is one of the biggest, and most prestigious, academic conferences for artificial intelligence.  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.

All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
Rob Brekelmans · Vaden Masrani · Frank Wood · Greg Ver Steeg · Aram Galstyan

Incidence Networks for Geometric Deep Learning
Marjan Albooyeh · Daniele Bertolini · Siamak Ravanbakhsh

Fiduciary Bandits
Gal Bahar · Omer Ben-Porat · Kevin Leyton-Brown · Moshe Tennenholtz

Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang · Victor Sanches Portella · Nick Harvey · Michael Friedlander

Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan

Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh

Generalized and Scalable Optimal Sparse Decision Trees
Jimmy Lin · Chudi Zhong · Diane Hu · Cynthia Rudin · Margo Seltzer

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