Matthew Streeter

According to our database1, Matthew Streeter authored at least 7 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2023
Sharp Taylor Polynomial Enclosures in One Dimension.
CoRR, 2023

Universal Majorization-Minimization Algorithms.
CoRR, 2023

2022
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications.
CoRR, 2022

2019
Learning Effective Loss Functions Efficiently.
CoRR, 2019

Bayes Optimal Early Stopping Policies for Black-Box Optimization.
CoRR, 2019

Learning Optimal Linear Regularizers.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Approximation Algorithms for Cascading Prediction Models.
Proceedings of the 35th International Conference on Machine Learning, 2018


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