Riemannian Inexact Gradient Descent for Quadratic Discrimination
Fuente:
arXiv
Saved in:
| Main Authors: | Talwar, Uday, Kupinski, Meredith K., Jalilzadeh, Afrooz |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence Analysis of Non-Strongly-Monotone Stochastic Quasi-Variational Inequalities
by: Alizadeh, Zeinab, et al.
Published: (2024)
by: Alizadeh, Zeinab, et al.
Published: (2024)
Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
by: Melcher, Cody, et al.
Published: (2025)
by: Melcher, Cody, et al.
Published: (2025)
Distributionally Robust Nash Equilibria via Variational Inequalities
by: Alizadeh, Zeinab, et al.
Published: (2025)
by: Alizadeh, Zeinab, et al.
Published: (2025)
Variance-reduction for Variational Inequality Problems with Bregman Distance Function
by: Alizadeh, Zeinab, et al.
Published: (2024)
by: Alizadeh, Zeinab, et al.
Published: (2024)
A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
by: Hamedani, Erfan Yazdandoost, et al.
Published: (2019)
by: Hamedani, Erfan Yazdandoost, et al.
Published: (2019)
Semi-infinite Nonconvex Constrained Min-Max Optimization
by: Melcher, Cody, et al.
Published: (2025)
by: Melcher, Cody, et al.
Published: (2025)
On the Analysis of Misspecified Variational Inequalities with Nonlinear Constraints
by: Dey, Novel Kumar, et al.
Published: (2026)
by: Dey, Novel Kumar, et al.
Published: (2026)
A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)
by: Khanh, Pham Duy, et al.
Published: (2023)
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
by: Martínez-Rubio, David, et al.
Published: (2024)
by: Martínez-Rubio, David, et al.
Published: (2024)
Convergence of First-Order Algorithms with Momentum from the Perspective of an Inexact Gradient Descent Method
by: Khanh, Pham Duy, et al.
Published: (2025)
by: Khanh, Pham Duy, et al.
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Adaptive Gradient Descent on Riemannian Manifolds with Nonnegative Curvature
by: Ansari-Önnestam, Aban, et al.
Published: (2025)
by: Ansari-Önnestam, Aban, et al.
Published: (2025)
IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)
by: Mlinarić, Petar, et al.
Published: (2023)
On a Family of Relaxed Gradient Descent Methods for Quadratic Minimization
by: MacDonald, Liam, et al.
Published: (2024)
by: MacDonald, Liam, et al.
Published: (2024)
An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints
by: Padmanabhan, Ram, et al.
Published: (2022)
by: Padmanabhan, Ram, et al.
Published: (2022)
On the Oracle Complexity of a Riemannian Inexact Augmented Lagrangian Method for Riemannian Nonsmooth Composite Problems
by: Xu, Meng, et al.
Published: (2024)
by: Xu, Meng, et al.
Published: (2024)
A Learning-Based Inexact ADMM for Solving Quadratic Programs
by: Gao, Xi, et al.
Published: (2025)
by: Gao, Xi, et al.
Published: (2025)
Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2025)
by: Abolfazli, Nazanin, et al.
Published: (2025)
Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
by: Liao, Feng-Yi, et al.
Published: (2024)
by: Liao, Feng-Yi, et al.
Published: (2024)
A Single-Mode Quasi Riemannian Gradient Descent Algorithm for Low-Rank Tensor Recovery
by: Zhang, Yuanwei, et al.
Published: (2024)
by: Zhang, Yuanwei, et al.
Published: (2024)
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
by: Oowada, Kanata, et al.
Published: (2025)
by: Oowada, Kanata, et al.
Published: (2025)
An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2023)
by: Abolfazli, Nazanin, et al.
Published: (2023)
Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)
by: Louzeiro, Mauricio S., et al.
Published: (2023)
Bilevel Learning with Inexact Stochastic Gradients
by: Salehi, Mohammad Sadegh, et al.
Published: (2024)
by: Salehi, Mohammad Sadegh, et al.
Published: (2024)
Quadratic Gradient: A Unified Framework Bridging Gradient Descent and Newton-Type Methods by Synthesizing Hessians and Gradients
by: Chiang, John
Published: (2022)
by: Chiang, John
Published: (2022)
Inexactly Smooth Performance Estimation and New Optimized Gradient Methods
by: Zoll, Aaron, et al.
Published: (2026)
by: Zoll, Aaron, et al.
Published: (2026)
A Relative Inexact Proximal Gradient Method with an Explicit Linesearch
by: Bello-Cruz, Yunier, et al.
Published: (2024)
by: Bello-Cruz, Yunier, et al.
Published: (2024)
On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
by: Kuruzov, Ilya, et al.
Published: (2024)
by: Kuruzov, Ilya, et al.
Published: (2024)
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
Frictionless Hamiltonian Descent and Coordinate Hamiltonian Descent for Strongly Convex Quadratic Problems
by: Wang, Jun-Kun
Published: (2024)
by: Wang, Jun-Kun
Published: (2024)
An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization
by: Macedo, Humberto Gimenes, et al.
Published: (2025)
by: Macedo, Humberto Gimenes, et al.
Published: (2025)
Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026)
by: Jiang, Jiaxin, et al.
Published: (2026)
Efficient Gradient Tracking Algorithms for Distributed Optimization Problems with Inexact Communication
by: Zhao, Shengchao, et al.
Published: (2025)
by: Zhao, Shengchao, et al.
Published: (2025)
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
by: Li, Yuchen, et al.
Published: (2024)
by: Li, Yuchen, et al.
Published: (2024)
Lipschitz-Free Mirror Descent Methods for Relatively Strongly Convex Functions with/without Absolute and Relative Inexactness
by: Alkousa, Mohammad S., et al.
Published: (2026)
by: Alkousa, Mohammad S., et al.
Published: (2026)
Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025)
by: Esmzad, Ramin, et al.
Published: (2025)
A Riemannian Alternating Descent Ascent Algorithmic Framework for Nonconvex-Linear Minimax Problems on Riemannian Manifolds
by: Xu, Meng, et al.
Published: (2024)
by: Xu, Meng, et al.
Published: (2024)
Computing Equilibria in Stochastic Nonconvex and Non-monotone Games via Gradient-Response Schemes
by: Xiao, Zhuoyu, et al.
Published: (2025)
by: Xiao, Zhuoyu, et al.
Published: (2025)
Interpretable Gradient Descent for Kalman Gain
by: Belabbas, M. A., et al.
Published: (2025)
by: Belabbas, M. A., et al.
Published: (2025)
Similar Items
-
Convergence Analysis of Non-Strongly-Monotone Stochastic Quasi-Variational Inequalities
by: Alizadeh, Zeinab, et al.
Published: (2024) -
Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
by: Melcher, Cody, et al.
Published: (2025) -
Distributionally Robust Nash Equilibria via Variational Inequalities
by: Alizadeh, Zeinab, et al.
Published: (2025) -
Variance-reduction for Variational Inequality Problems with Bregman Distance Function
by: Alizadeh, Zeinab, et al.
Published: (2024) -
A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
by: Hamedani, Erfan Yazdandoost, et al.
Published: (2019)