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Automatically Bounding the Taylor Remainder Series: Tighter Bounds and
  New Applications

Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications

22 December 2022
Matthew J. Streeter
Joshua V. Dillon
ArXivPDFHTML

Papers citing "Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications"

6 / 6 papers shown
Title
Modular Duality in Deep Learning
Modular Duality in Deep Learning
Jeremy Bernstein
Laker Newhouse
35
6
0
28 Oct 2024
Verification of Neural Control Barrier Functions with Symbolic
  Derivative Bounds Propagation
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Hanjiang Hu
Yujie Yang
Tianhao Wei
Changliu Liu
AAML
33
7
0
04 Oct 2024
No learning rates needed: Introducing SALSA -- Stable Armijo Line Search
  Adaptation
No learning rates needed: Introducing SALSA -- Stable Armijo Line Search Adaptation
Philip Kenneweg
Tristan Kenneweg
Fabian Fumagalli
Barbara Hammer
ODL
34
0
0
30 Jul 2024
Scalable Optimization in the Modular Norm
Scalable Optimization in the Modular Norm
Tim Large
Yang Liu
Minyoung Huh
Hyojin Bahng
Phillip Isola
Jeremy Bernstein
59
13
0
23 May 2024
Sharp Taylor Polynomial Enclosures in One Dimension
Sharp Taylor Polynomial Enclosures in One Dimension
Matthew J. Streeter
Joshua V. Dillon
79
3
0
01 Aug 2023
Universal Majorization-Minimization Algorithms
Universal Majorization-Minimization Algorithms
Matthew J. Streeter
19
6
0
31 Jul 2023
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