Catalyst is an interdisciplinary machine learning and systems research group exploring problems to automate learning systems. Our research spanning multiple layers of the machine learning and system stack. Our group is a collaboration between researchers from the Machine Learning Department, Computer Science Department and Electrical & Computer Engineering Department at the Carnegie Mellon University.
End-to-end compilation of ML applications with dynamic and irregular control flow and data structure accesses
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Principled early-stopping approaches for hyperparameter optimization
Automatically Discovering Fast Parallelization Strategies for DNN Training
The Tensor Algebra SuperOptimizer for Deep Learning
A Scalable Tree Boosting System