Matthew Streeter

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Prediction Model

Top Venues

Publications

Matthew Streeter, Joshua V. Dillon
Sharp Taylor Polynomial Enclosures in One Dimension. CoRR (2023)
Matthew Streeter
Universal Majorization-Minimization Algorithms. CoRR (2023)
Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics. CoRR (2022)
Matthew Streeter, Joshua V. Dillon
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications. CoRR (2022)
Matthew Streeter
Learning Optimal Linear Regularizers. CoRR (2019)
Matthew Streeter
Bayes Optimal Early Stopping Policies for Black-Box Optimization. CoRR (2019)
Matthew Streeter
Learning Optimal Linear Regularizers. ICML (2019)
Matthew Streeter
Learning Effective Loss Functions Efficiently. CoRR (2019)
Matthew Streeter
Approximation Algorithms for Cascading Prediction Models. ICML (2018)
Matthew Streeter
Approximation Algorithms for Cascading Prediction Models. CoRR (2018)