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David Huckleberry Gutman
David Huckleberry Gutman
Assistant Professor, ISEN, Texas A&M University
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
The condition number of a function relative to a set
DH Gutman, JF Pena
Mathematical Programming 188, 255-294, 2021
36*2021
Perturbed Fenchel duality and first-order methods
DH Gutman, JF Peña
Mathematical Programming, 1-27, 2022
27*2022
Coordinate descent without coordinates: Tangent subspace descent on Riemannian manifolds
DH Gutman, N Ho-Nguyen
Mathematics of Operations Research 48 (1), 127-159, 2023
92023
Convergence rates of proximal gradient methods via the convex conjugate
DH Gutman, JF Pena
SIAM Journal on Optimization, 2019
82019
Perturbed Fenchel duality and first-order methods
DH Gutman, JF Peña
arXiv preprint arXiv:1812.10198, 2018
32018
Enhanced basic procedures for the projection and rescaling algorithm
DH Gutman
Optimization Letters 13 (6), 1259-1267, 2019
22019
Cyclic coordinate descent in the Hölder smooth setting
DH Gutman, N Ho-Nguyen
Operations Research Letters 50 (5), 458-462, 2022
12022
The Inexact Cyclic Block Proximal Gradient Method and Properties of Inexact Proximal Maps
L Farias Maia, DH Gutman, RC Hughes
Journal of Optimization Theory and Applications, 1-31, 2024
2024
The Randomized Block Coordinate Descent Method in the H\" older Smooth Setting
LF Maia, DH Gutman
arXiv preprint arXiv:2403.08080, 2024
2024
The Inexact Cyclic Block Proximal Gradient Method and Properties of Inexact Proximal Maps
L Maia, DH Gutman, RC Hughes
arXiv preprint arXiv:2201.00896, 2022
2022
First-Order Methods in Convex Optimization: Acceleration, Conditioning, and Rescaling
D Gutman
Carnegie Mellon University, 2019
2019
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Articles 1–11