Approximation Algorithms for Cascading Prediction Models. - Matthew Streeter (ICML, 2018)

Learning Optimal Linear Regularizers. - Matthew Streeter (ICML, 2019)

Bayes Optimal Early Stopping Policies for Black-Box Optimization. - Matthew Streeter (CoRR, 2019)

Learning Effective Loss Functions Efficiently. - Matthew Streeter (CoRR, 2019)

Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications. - Matthew Streeter; Joshua V. Dillon (CoRR, 2022)

Universal Majorization-Minimization Algorithms. - Matthew Streeter (CoRR, 2023)

Sharp Taylor Polynomial Enclosures in One Dimension. - Matthew Streeter; Joshua V. Dillon (CoRR, 2023)