:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tevruez, Ece, Kannan, Aswin
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control 90C26 G.1.6
Online Access:	https://arxiv.org/abs/2501.07128
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
by: Li, Zijun, et al.
Published: (2026)

Enhancing Model Based Derivative Free Optimization using Direct Search
by: Li, Zijun, et al.
Published: (2026)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
by: Starnes, Andrew, et al.
Published: (2024)

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
by: Chao, Yutong, et al.
Published: (2026)

Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)

OPM, a collection of Optimization Problems in Matlab
by: Gratton, Serge, et al.
Published: (2021)

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)

Natural Gradient VI: Guarantees for Non-Conjugate Models
by: Sun, Fangyuan, et al.
Published: (2025)

Comparative Evaluation of SDP, SOCP, and QC Convex Relaxations for Large-Scale Market-Based AC Optimal Power Flow
by: Keskin, Ata
Published: (2026)

Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
by: Bartz-Beielstein, Thomas
Published: (2025)

Where's Ben Nevis? A 2D optimisation benchmark with 957,174 local optima based on Great Britain terrain data
by: Wei, Yuhang, et al.
Published: (2024)

Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
by: Fatkhullin, Ilyas, et al.
Published: (2024)

Global Optimality for Constrained Exploration via Penalty Regularization
by: Wolf, Florian, et al.
Published: (2026)

A cutting plane algorithm for globally solving low dimensional k-means clustering problems
by: Ryner, Martin, et al.
Published: (2024)

Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
by: Kurbucz, Marcell T.
Published: (2026)

Barrier Algorithms for Constrained Non-Convex Optimization
by: Dvurechensky, Pavel, et al.
Published: (2024)

Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
by: Neira, David E. Bernal, et al.
Published: (2021)

Stochastic convergence of parallel asynchronous adaptive first-order methods
by: Gratton, Serge, et al.
Published: (2026)

A Structured Tour of Optimization with Finite Differences
by: Rando, Marco, et al.
Published: (2025)

A Linear Convergence Result for the Jacobi-Proximal Alternating Direction Method of Multipliers
by: Choi, Hyelin, et al.
Published: (2025)

The Non-Linearity Perturbation Threshold: Width Scaling and Landscape Bifurcations in Deep Learning
by: Alexander, Michael
Published: (2026)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
by: Ueda, Ryota, et al.
Published: (2025)

From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
by: Ahmadi, Farzin, et al.
Published: (2026)

Quadratic Programming over Linearly Ordered Fields: Decidability and Attainment of Optimal Solutions
by: Plutenko, Dmytro O.
Published: (2026)

Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
by: Alpay, Faruk, et al.
Published: (2025)

Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
by: Vary, Simon, et al.
Published: (2024)

Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bounds constraints
by: Gratton, Serge, et al.
Published: (2024)

Complexity and performance for two classes of noise-tolerant first-order algorithms
by: Gratton, S., et al.
Published: (2022)

A unified vertical alignment and earthwork model in road design with a new convex optimization model for road networks
by: Sadhukhan, Sayan, et al.
Published: (2025)

Axis-Aligned Relaxations for Mixed-Integer Nonlinear Programming
by: Zhu, Haisheng, et al.
Published: (2026)

A globally convergent SQP-type method with least constraint violation for nonlinear semidefinite programming
by: Fu, Wenhao, et al.
Published: (2023)

$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning
by: Vincent, Florian, et al.
Published: (2024)

Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
by: Langenkamp, Linus, et al.
Published: (2025)

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient
by: Morinaga, Daiki, et al.
Published: (2022)

Adaptive direct search algorithms for constrained optimization
by: Audet, Charles, et al.
Published: (2025)

Regularized Step Directions in Nonlinear Conjugate Gradient Methods
by: Buhler, Cassidy K., et al.
Published: (2021)

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization
by: Costantini, Marina, et al.
Published: (2025)

Quadratic Surrogate Attractor for Particle Swarm Optimization
by: Clemente, Maurizio, et al.
Published: (2026)

Data-Dependent Complexity of First-Order Methods for Binary Classification
by: Hough, Matthew, et al.
Published: (2025)

Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
by: Khanal, Kshitiz
Published: (2025)