David Huckleberry Gutman
David Huckleberry Gutman
Assistant Professor, IMSE, Texas Tech University
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
A unified framework for Bregman proximal methods: subgradient, gradient, and accelerated gradient schemes
DH Gutman, JF Peņa
arXiv preprint arXiv:1812.10198, 2018
17*2018
The condition number of a function relative to a set
DH Gutman, JF Pena
Mathematical Programming 188 (1), 255-294, 2021
142021
The condition of a function relative to a polytope
DH Gutman, JF Pena
arXiv preprint arXiv:1802.00271, 2018
82018
Convergence rates of proximal gradient methods via the convex conjugate
DH Gutman, JF Pena
SIAM Journal on Optimization, 2019
32019
Enhanced basic procedures for the projection and rescaling algorithm
DH Gutman
Optimization Letters 13 (6), 1259-1267, 2019
22019
Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds
DH Gutman, N Ho-Nguyen
arXiv preprint arXiv:1912.10627, 2019
12019
Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds
D Huckleberry Gutman, N Ho-Nguyen
arXiv e-prints, arXiv: 1912.10627, 2019
2019
First-Order Methods in Convex Optimization: Acceleration, Conditioning, and Rescaling
D Gutman
Carnegie Mellon University, 2019
2019
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