2 papers
cs.LG2020
Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis +1
Non-negative matrix factorization (NMF) is a fundamental non-convex optimization problem with numerous applications in Machine Learning (music analysis, document clustering, speech…
cs.LG2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales +11
State-of-the-art machine learning methods exhibit limited compositional generalization. At the same time, there is a lack of realistic benchmarks that comprehensively measure this…