:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nagaraj, Sriram, Hickok, Truman
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Numerical Analysis 90C30
Online Access:	https://arxiv.org/abs/2406.15617
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
by: Nagaraj, Sriram, et al.
Published: (2024)

Nonlocal Neural Tangent Kernels via Parameter-Space Interactions
by: Nagaraj, Sriram, et al.
Published: (2025)

Marrying Compressed Sensing and Deep Signal Separation
by: Hickok, Truman, et al.
Published: (2024)

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)

A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition
by: Lu, Zhaosong, et al.
Published: (2025)

A first-order augmented Lagrangian method for constrained minimax optimization
by: Lu, Zhaosong, et al.
Published: (2023)

First-order penalty methods for bilevel optimization
by: Lu, Zhaosong, et al.
Published: (2023)

Solving bilevel optimization via sequential minimax optimization
by: Lu, Zhaosong, et al.
Published: (2025)

A first-order method for nonconvex-strongly-concave constrained minimax optimization
by: Lu, Zhaosong, et al.
Published: (2025)

Optimization over the intersection of manifolds
by: Yang, Yan, et al.
Published: (2026)

Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications
by: Lee, Youngkyu, et al.
Published: (2024)

Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies
by: Kopaničáková, Alena, et al.
Published: (2023)

A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
by: Aguirre, Jacob, et al.
Published: (2025)

An accelerated primal-dual flow for linearly constrained multiobjective optimization
by: Luo, Hao, et al.
Published: (2025)

Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming
by: Wright, Stephen J.
Published: (2001)

Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
by: Wu, Zhongming, et al.
Published: (2024)

Regularized Barzilai-Borwein method
by: An, Congpei, et al.
Published: (2022)

Proximal Nonlinear Conjugate Gradient Methods for Composite Optimization
by: Hamana, Shodai, et al.
Published: (2026)

Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
by: Langlois, Gabriel P., et al.
Published: (2024)

Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis
by: Niu, Yi-Shuai, et al.
Published: (2026)

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
by: He, Chuan, et al.
Published: (2023)

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
by: Wang, Xuejie, et al.
Published: (2023)

Tight Error Bounds for the Sign-Constrained Stiefel Manifold
by: Chen, Xiaojun, et al.
Published: (2022)

A novel numerical method tailored for unconstrained optimization problems
by: Li, Lin, et al.
Published: (2025)

A fixed-time stable dynamical model for solving EVLCPs
by: Wei, Yufei, et al.
Published: (2025)

An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
by: Curtis, Frank E., et al.
Published: (2025)

AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
by: Krejić, Nataša, et al.
Published: (2025)

Privacy-Preserving Black-Box Optimization (PBBO): Theory and the Model-Based Algorithm DFOp
by: Xie, Pengcheng
Published: (2025)

SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems
by: Chang, Zhipeng, et al.
Published: (2026)

A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
by: Monteiro, Renato D. C., et al.
Published: (2024)

Approximating the signature of Brownian motion for high order SDE simulation
by: Foster, James
Published: (2024)

On the fast convergence of minibatch heavy ball momentum
by: Bollapragada, Raghu, et al.
Published: (2022)

Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization
by: Bellon, Antonio, et al.
Published: (2022)

On the Shape of the Symmetric Solution Set of a Linear Complementarity Problem with Interval Data
by: Schäfer, Uwe
Published: (2025)

Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
by: Wright, Stephen J.
Published: (2000)

Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)

Projected gradient descent accumulates at Bouligand stationary points
by: Olikier, Guillaume, et al.
Published: (2024)

A domain decomposition method for stochastic evolution equations
by: Buckwar, Evelyn, et al.
Published: (2024)

The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)