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cs.LG2026
FlexiFlow: Bandit-based Model Switching in ML Workflows
Abhilash Jindal, Todd Nief, Bhanu Prakash Vangala +6
Model optimizations help improve inference performance and accuracy of ML workflows. However, relying on a single model to perform inference across all data batches often fails to…
stat.ML2026
Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
John Hood, Aaron Schein
Despite the ubiquity of multiway data across scientific domains, there are few performant and user-friendly methods that fit non-standard nonnegative tensor factorization models ta…