Optimization and Control

Papers filed under math.OC on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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61 to 120 of 1,592

Supply Chain Analytics: A Data-Driven Approach
Elioth Sanabria
math.OCcs.LGstat.MLarXiv:2609.10563v12026
Summaries:한국어
EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading
Md. Mahfujur Rahman, Alistair Barros, Raja Jurdak +1
math.OCcs.LGeess.SYarXiv:2609.10551v12026
Data-driven Local Control Design using Optimization and Machine Learning Techniques
Stavros Karagiannopoulos, Petros Aristidou, Gabriela Hug
math.OCarXiv:1808.01009v22018
Performance-oriented model learning for data-driven MPC design
Dario Piga, Marco Forgione, Simone Formentin +1
math.OCarXiv:1904.10839v12019
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Anas Jnini, Elham Kiyani, Khemraj Shukla +5
cs.LGcs.AImath.NAarXiv:2604.05230v12026
AdamX: Cosine similarity meets gradient descent
Francisco Caldas, Ruben Belo, Cláudia Soares
cs.LGmath.OCarXiv:2609.11867v12026
Controllability and observability of grid graphs via reduction and symmetries
Giuseppe Notarstefano, Gianfranco Parlangeli
math.OCarXiv:1203.0129v12012
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence
Kaiqing Zhang, Bin Hu, Tamer Başar
math.OCcs.LGeess.SYarXiv:1910.09496v32019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen, Yuejie Chi, Jianqing Fan +2
stat.MLcs.ITcs.LGarXiv:1902.07698v22019
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version
Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
math.OCarXiv:0911.1536v22009
Convex Optimization with Nested Evolving Feasible Sets (CONES) under Time-Varying Loss Functions
Rahul Vaze
cs.LGcs.DSmath.OCarXiv:2609.11207v12026
EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale
Ege C. Kaya, Abolfazl Hashemi
cs.LGcs.AImath.OCarXiv:2609.10980v12026
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach
Insoon Yang
math.OCeess.SYarXiv:1812.09808v42018
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
Paul Saves, Remi Lafage, Nathalie Bartoli +6
cs.LGcs.MSmath.OCarXiv:2305.13998v52023
Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations
Tong Li, Saunak Kumar Panda, Yisha Xiang
cs.LGmath.OCarXiv:2609.10866v12026
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan, Yongyi Guo, Kaizheng Wang
stat.MLcs.LGmath.OCarXiv:1906.04870v22019
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn +1
cs.LGmath.OCstat.MLarXiv:1802.08249v22018
A Historical Perspective of Adaptive Control and Learning
Anuradha M. Annaswamy, Alexander L. Fradkov
math.OCeess.SYarXiv:2108.11336v22021
Total-variation regularization strategies in full-waveform inversion
Ernie Esser, Lluis Guasch, Tristan van Leeuwen +2
math.OCarXiv:1608.06159v12016
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems
Alen Alexanderian, Noemi Petra, Georg Stadler +1
math.OCstat.COstat.MEarXiv:1410.5899v22014
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn, Tianjian Huang, Songtao Lu +3
math.OCcs.LGstat.MLarXiv:2006.08141v22020
MADMM: a generic algorithm for non-smooth optimization on manifolds
Artiom Kovnatsky, Klaus Glashoff, Michael M. Bronstein
math.OCmath.NAarXiv:1505.07676v12015
A hybrid method without extrapolation step for solving variational inequality problems
Yu. V. Malitsky, V. V. Semenov
math.OCarXiv:1501.07298v12015
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian, Tengyu Ma, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2106.06530v22021
Generalizing Negative Imaginary Systems Theory to Include Free Body Dynamics: Control of Highly Resonant Structures with Free Body Motion
M. A. Mabrok, A. G. Kallapur, I. R. Petersen +1
math.OCarXiv:1305.1079v22013
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
stat.MLmath.OCarXiv:1712.05654v22017
Global Optimality in Low-rank Matrix Optimization
Zhihui Zhu, Qiuwei Li, Gongguo Tang +1
cs.ITmath.OCarXiv:1702.07945v32017
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi, Jakub Konečný, Peter Richtárik +2
math.OCcs.LGstat.MLarXiv:1608.06879v12016
Lower Bounds for Finding Stationary Points II: First-Order Methods
Yair Carmon, John C. Duchi, Oliver Hinder +1
math.OCarXiv:1711.00841v12017
On the Convergence Rate of Incremental Aggregated Gradient Algorithms
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo Parrilo
math.OCarXiv:1506.02081v12015
On a generalization of the iterative soft-thresholding algorithm for the case of non-separable penalty
Ignace Loris, Caroline Verhoeven
math.NAmath.OCarXiv:1104.1087v32011
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein, Carola Doerr, Daan van den Berg +14
cs.NEcs.PFmath.OCarXiv:2007.03488v22020
Data-driven stabilization of nonlinear polynomial systems with noisy data
Meichen Guo, Claudio De Persis, Pietro Tesi
math.OCeess.SYarXiv:2011.07833v12020
On the Preliminary Design of Multiple Gravity-Assist Trajectories
Massimiliano Vasile, Paolo DePascale
math.OCcs.NEeess.SYarXiv:1105.1822v12011
Learning How to Autonomously Race a Car: a Predictive Control Approach
Ugo Rosolia, Francesco Borrelli
eess.SYmath.OCarXiv:1901.08184v42019
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method
Ju Sun, Qing Qu, John Wright
cs.ITcs.CVmath.OCarXiv:1511.04777v32015
Concurrent learning-based approximate optimal regulation
Rushikesh Kamalapurkar, Patrick Walters, Warren Dixon
eess.SYmath.OCarXiv:1304.3477v12013
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing
Nicolas Gillis
stat.MLmath.NAmath.OCarXiv:1204.2436v12012
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning
Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka
math.OCcs.ROarXiv:1709.00627v32017
Perturbation Resilience and Superiorization of Iterative Algorithms
Y. Censor, R. Davidi, G. T. Herman
math.OCcs.CVphysics.med-pharXiv:1005.0069v12010
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
Christopher De Sa, Kunle Olukotun, Christopher Ré
cs.LGmath.OCstat.MLarXiv:1411.1134v32014
Distributed velocity-constrained consensus of discrete-time multi-agent systems with nonconvex constraints, switching topologies, and delays
Peng Lin, Wei Ren, Huijun Gao
math.OCarXiv:2003.01849v12020
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret +1
stat.MLcs.LGmath.OCarXiv:1904.08598v32019
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
Lin Xiao, Tong Zhang
math.OCcs.ITstat.MLarXiv:1203.3002v12012
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo Jiang, Tianyi Lin, Shiqian Ma +1
math.OCcs.LGstat.MLarXiv:1605.02408v52016
Scaling Algorithms for Unbalanced Transport Problems
Lenaic Chizat, Gabriel Peyré, Bernhard Schmitzer +1
math.OCarXiv:1607.05816v22016
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
David Applegate, Mateo Díaz, Oliver Hinder +4
math.OCarXiv:2106.04756v22021
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes
Angelia Nedić, Alex Olshevsky, Wei Shi +1
math.OCeess.SYstat.MLarXiv:1609.05877v12016
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu +4
cs.LGmath.OCstat.MLarXiv:1910.06513v22019
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Peng Zheng, Ryan Barber, Reed J. D. Sorensen +2
stat.MEmath.OCstat.MLarXiv:1909.10700v22019
Physarum Can Compute Shortest Paths
Vincenzo Bonifaci, Kurt Mehlhorn, Girish Varma
cs.DScs.CEcs.ETarXiv:1106.0423v32011
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
cs.LGcs.AImath.OCarXiv:2306.06101v42023
Krylov Subspace Descent for Deep Learning
Oriol Vinyals, Daniel Povey
stat.MLmath.OCarXiv:1111.4259v12011
The proximal augmented Lagrangian method for nonsmooth composite optimization
Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanović
math.OCeess.SYmath.DSarXiv:1610.04514v42016
Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
Indranil Pan, Saptarshi Das
math.OCcs.NEeess.SYarXiv:1611.09802v12016
Real-Time Local Volt/VAR Control Under External Disturbances with High PV Penetration
Ankit Singhal, Venkataramana Ajjarapu, Jason. C. Fuller +1
math.OCarXiv:1710.02551v32017
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan, Yan Yan, Milan Sonka +1
cs.LGcs.CVmath.OCarXiv:2012.03173v22020
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
Stephen Pasteris, Shiqiang Wang, Mark Herbster +1
cs.DCmath.OCarXiv:1906.07055v12019
Fractional Noether's theorem in the Riesz-Caputo sense
Gastao S. F. Frederico, Delfim F. M. Torres
math.OCmath-pharXiv:1001.4507v12010
Progressive construction of a parametric reduced-order model for PDE-constrained optimization
Matthew J. Zahr, Charbel Farhat
math.OCmath.NAarXiv:1407.7618v12014

Optimization and Control

Supply Chain Analytics: A Data-Driven Approach

EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading

Data-driven Local Control Design using Optimization and Machine Learning Techniques

Performance-oriented model learning for data-driven MPC design

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

AdamX: Cosine similarity meets gradient descent

Controllability and observability of grid graphs via reduction and symmetries

Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version

Convex Optimization with Nested Evolving Feasible Sets (CONES) under Time-Varying Loss Functions

EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes

Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

Communication-Efficient Accurate Statistical Estimation

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

A Historical Perspective of Adaptive Control and Learning

Total-variation regularization strategies in full-waveform inversion

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances

MADMM: a generic algorithm for non-smooth optimization on manifolds

A hybrid method without extrapolation step for solving variational inequality problems

Label Noise SGD Provably Prefers Flat Global Minimizers

Generalizing Negative Imaginary Systems Theory to Include Free Body Dynamics: Control of Highly Resonant Structures with Free Body Motion

Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice

Global Optimality in Low-rank Matrix Optimization

AIDE: Fast and Communication Efficient Distributed Optimization

Lower Bounds for Finding Stationary Points II: First-Order Methods

On the Convergence Rate of Incremental Aggregated Gradient Algorithms

On a generalization of the iterative soft-thresholding algorithm for the case of non-separable penalty

Benchmarking in Optimization: Best Practice and Open Issues

Data-driven stabilization of nonlinear polynomial systems with noisy data

On the Preliminary Design of Multiple Gravity-Assist Trajectories

Learning How to Autonomously Race a Car: a Predictive Control Approach

Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method

Concurrent learning-based approximate optimal regulation

Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing

The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning

Perturbation Resilience and Superiorization of Iterative Algorithms

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems

Distributed velocity-constrained consensus of discrete-time multi-agent systems with nonconvex constraints, switching topologies, and delays

Reducing Noise in GAN Training with Variance Reduced Extragradient

A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem

Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis

Scaling Algorithms for Unbalanced Transport Problems

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient

Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

Trimmed Constrained Mixed Effects Models: Formulations and Algorithms

Physarum Can Compute Shortest Paths

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

Krylov Subspace Descent for Deep Learning

The proximal augmented Lagrangian method for nonsmooth composite optimization

Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization

Real-Time Local Volt/VAR Control Under External Disturbances with High PV Penetration

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems

Fractional Noether's theorem in the Riesz-Caputo sense

Progressive construction of a parametric reduced-order model for PDE-constrained optimization