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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181 to 240 of 1,592

Influence of Initialization on the Performance of Metaheuristic Optimizers
Qian Li, San-Yang Liu, Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03789v12020
A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized $\ell_0$-sparsification
Alen Alexanderian, Noemi Petra, Georg Stadler +1
stat.COmath.NAmath.OCarXiv:1308.4084v22013
GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra
Pratik Rathore, Zachary Frangella, Parth Nobel +2
cs.LGmath.OCstat.MLarXiv:2609.08136v12026
On generalized terminal state constraints for model predictive control
Lorenzo Fagiano, Andrew R. Teel
eess.SYmath.OCarXiv:1207.0788v22012
Understanding Gradient Descent on Edge of Stability in Deep Learning
Sanjeev Arora, Zhiyuan Li, Abhishek Panigrahi
cs.LGmath.OCarXiv:2205.09745v32022
Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
Alexander Ryabchenko, Jian Qian, Wenlong Mou
cs.LGmath.OCarXiv:2609.08277v12026
Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications
Youcheng Lou, Yiguang Hong, Lihua Xie +2
eess.SYcs.GTmath.OCarXiv:1312.7050v22013
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan +1
math.OCcs.LGstat.MLarXiv:1902.05679v22019
Robustness of Information Diffusion Algorithms to Locally Bounded Adversaries
Haotian Zhang, Shreyas Sundaram
cs.SIcs.DCcs.MAarXiv:1110.3843v22011
New Analysis and Results for the Frank-Wolfe Method
Robert M. Freund, Paul Grigas
math.OCarXiv:1307.0873v22013
Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique
Yutao Tang, Zhenhua Deng, Yiguang Hong
math.OCeess.SYarXiv:1704.04652v22017
Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints
Xiuxian Li, Xinlei Yi, Lihua Xie
math.OCarXiv:1805.05573v32018
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos +1
math.OCcs.LGstat.MLarXiv:1607.08254v22016
Submodular Functions: from Discrete to Continous Domains
Francis Bach
cs.LGmath.OCarXiv:1511.00394v22015
A Model of Supply-Chain Decisions for Resource Sharing with an Application to Ventilator Allocation to Combat COVID-19
Sanjay Mehrotra, Hamed Rahimian, Masoud Barah +2
math.OCarXiv:2004.01318v12020
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen, Xiaoge Zhang, Olga Fink +7
cs.LGmath.OCarXiv:2208.12904v12022
Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study
Peng Xu, Farbod Roosta-Khorasani, Michael W. Mahoney
math.OCcs.LGmath.NAarXiv:1708.07827v22017
Constrained Online Learning with Noisy Constraint Values
Vaneet Aggarwal
cs.LGcs.AImath.OCarXiv:2609.06921v12026
On the low-rank approach for semidefinite programs arising in synchronization and community detection
Afonso S. Bandeira, Nicolas Boumal, Vladislav Voroninski
math.OCarXiv:1602.04426v22016
Competitive Charging Station Pricing for Plug-in Electric Vehicles
Wei Yuan, Jianwei Huang, Ying Jun Zhang
cs.GTeess.SYmath.OCarXiv:1511.07907v22015
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian, Eshaan Nichani, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2209.15594v22022
Accelerating Stochastic Composition Optimization
Mengdi Wang, Ji Liu, Ethan X. Fang
math.OCstat.MLarXiv:1607.07329v12016
Observer-Based High Order Sliding Mode Control of Unity Power Factor in Three-Phase AC/DC Converter for Hybrid Electric Vehicle Applications
Jianxing Liu, Salah Laghrouche, Maxime Wack
math.OCeess.SYarXiv:1303.5842v22013
Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints
Chaojie Wang, Siyuan Gong, Anye Zhou +2
eess.SYmath.OCarXiv:1807.07232v22018
Visualizing Data using GTSNE
Songting Shi
cs.LGcs.HCmath.OCarXiv:2108.01301v12021
Data-Driven Control of Complex Networks
Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
eess.SYmath.OCphysics.soc-pharXiv:2003.12189v32020
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
Stephen Tu, Benjamin Recht
cs.LGmath.OCstat.MLarXiv:1812.03565v22018
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
T. Alamo, R. Tempo, A. Luque +1
eess.SYmath.OCarXiv:1304.0678v22013
Variance Reduced Local SGD with Lower Communication Complexity
Xianfeng Liang, Shuheng Shen, Jingchang Liu +3
cs.LGcs.DCmath.OCarXiv:1912.12844v12019
A Schur Complement Based Semi-Proximal ADMM for Convex Quadratic Conic Programming and Extensions
Xudong Li, Defeng Sun, Kim-Chuan Toh
math.OCarXiv:1409.2679v12014
Second-order subdifferential calculus with applications to tilt stability in optimization
B. S. Mordukhovich, R. T. Rockafellar
math.OCarXiv:1110.4572v12011
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
cs.LGmath.OCstat.MLarXiv:2211.01364v32022
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
Lenaic Chizat, Pierre Roussillon, Flavien Léger +2
math.OCmath.STstat.MLarXiv:2006.08172v22020
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone line-search algorithms
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
math.OCarXiv:1606.06256v22016
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
Nikolas Nüsken, Lorenz Richter
math.OCcs.LGmath.NAarXiv:2005.05409v22020
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye, Bo Liu, Stephen Wright +2
cs.LGcs.AImath.OCarXiv:2209.08709v12022
Gradient-like observers for invariant dynamics on a Lie group
C. Lageman, J. Trumpf, R. Mahony
math.OCarXiv:0805.0828v12008
On the Effectiveness of Projection Methods for Convex Feasibility Problems with Linear Inequality Constraints
Y. Censor, W. Chen, P. L. Combettes +2
math.OCmath.NAarXiv:0912.4367v12009
Sparse Data Augmentation for Optimization with Provable Guarantees
Behrooz Tahmasebi, Melanie Weber
cs.LGcs.AImath.OCarXiv:2609.08133v12026
Balanced Policy Evaluation and Learning
Nathan Kallus
stat.MLcs.LGmath.OCarXiv:1705.07384v22017
Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control
Sergio Grammatico, Francesca Parise, Marcello Colombino +1
eess.SYcs.GTmath.OCarXiv:1410.4421v22014
Deep Relaxation: partial differential equations for optimizing deep neural networks
Pratik Chaudhari, Adam Oberman, Stanley Osher +2
cs.LGmath.APmath.OCarXiv:1704.04932v22017
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki, Andrew M. Stuart
cs.LGmath.OCstat.MLarXiv:1808.03620v12018
Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming
Zhaosong Lu
math.OCcs.LGstat.COarXiv:1210.0066v12012
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
Differentiating Through a Cone Program
Akshay Agrawal, Shane Barratt, Stephen Boyd +2
math.OCarXiv:1904.09043v42019
Input-to-state stability of infinite-dimensional systems: recent results and open questions
Andrii Mironchenko, Christophe Prieur
math.OCmath.APmath.DSarXiv:1910.01714v32019
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
cs.LGcs.AImath.OCarXiv:2010.02068v42020
Graph Matching: Relax at Your Own Risk
Vince Lyzinski, Donniell Fishkind, Marcelo Fiori +3
stat.MLmath.OCarXiv:1405.3133v32014
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution
Yuejie Chi, Maxime Ferreira Da Costa
eess.SPcs.ITmath.OCarXiv:1904.04283v32019
"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon, Oliver Hinder, John C. Duchi +1
math.OCarXiv:1705.02766v12017
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang, James Cheng, Yuanyuan Liu +2
cs.LGcs.CVmath.OCarXiv:1810.05186v12018
Summaries:한국어
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Ohad Shamir
cs.LGmath.NAmath.OCarXiv:1409.2848v52014
Dispatchable Virtual Oscillator Control for Decentralized Inverter-dominated Power Systems: Analysis and Experiments
Gab-Su Seo, Marcello Colombino, Irina Subotić +3
math.OCarXiv:1811.08842v12018
Optimal Demand Response with Energy Storage Management
Longbo Huang, Jean Walrand, Kannan Ramchandran
math.OCarXiv:1205.4297v12012
One-bit compressive sensing with norm estimation
Karin Knudson, Rayan Saab, Rachel Ward
stat.MLmath.NAmath.OCarXiv:1404.6853v32014
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach
Yang Li, Kang Li, Zhen Yang +3
eess.SYmath.OCarXiv:2111.12322v12021
Geometric Ergodicity of Affine Invariant Ensemble Langevin and its Discrete Time Variants
Hong Ye Tan, Yifan Chen
math.STmath.NAmath.OCarXiv:2609.03326v12026
Modeling, state estimation, and optimal control for the US COVID-19 outbreak
Calvin Tsay, Fernando Lejarza, Mark A. Stadtherr +1
q-bio.PEmath.OCarXiv:2004.06291v22020
Learning Quadrotor Dynamics Using Neural Network for Flight Control
Somil Bansal, Anayo K. Akametalu, Frank J. Jiang +2
eess.SYcs.ROmath.OCarXiv:1610.05863v12016

Optimization and Control

Influence of Initialization on the Performance of Metaheuristic Optimizers

A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized $\ell_0$-sparsification

GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra

On generalized terminal state constraints for model predictive control

Understanding Gradient Descent on Edge of Stability in Deep Learning

Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

Nash Equilibrium Computation in Subnetwork Zero-Sum Games with Switching Communications

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Robustness of Information Diffusion Algorithms to Locally Bounded Adversaries

New Analysis and Results for the Frank-Wolfe Method

Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique

Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints

Stochastic Frank-Wolfe Methods for Nonconvex Optimization

Submodular Functions: from Discrete to Continous Domains

A Model of Supply-Chain Decisions for Resource Sharing with an Application to Ventilator Allocation to Combat COVID-19

A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives

Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study

Constrained Online Learning with Noisy Constraint Values

On the low-rank approach for semidefinite programs arising in synchronization and community detection

Competitive Charging Station Pricing for Plug-in Electric Vehicles

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Accelerating Stochastic Composition Optimization

Observer-Based High Order Sliding Mode Control of Unity Power Factor in Three-Phase AC/DC Converter for Hybrid Electric Vehicle Applications

Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints

Visualizing Data using GTSNE

Data-Driven Control of Complex Networks

The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint

Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms

Variance Reduced Local SGD with Lower Communication Complexity

A Schur Complement Based Semi-Proximal ADMM for Convex Quadratic Conic Programming and Extensions

Second-order subdifferential calculus with applications to tilt stability in optimization

An optimal control perspective on diffusion-based generative modeling

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence

Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone line-search algorithms

Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Gradient-like observers for invariant dynamics on a Lie group

On the Effectiveness of Projection Methods for Convex Feasibility Problems with Linear Inequality Constraints

Sparse Data Augmentation for Optimization with Provable Guarantees

Balanced Policy Evaluation and Learning

Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control

Deep Relaxation: partial differential equations for optimizing deep neural networks

Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks

Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Differentiating Through a Cone Program

Input-to-state stability of infinite-dimensional systems: recent results and open questions

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows

Graph Matching: Relax at Your Own Risk

Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution

"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate

Dispatchable Virtual Oscillator Control for Decentralized Inverter-dominated Power Systems: Analysis and Experiments

Optimal Demand Response with Energy Storage Management

One-bit compressive sensing with norm estimation

Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach

Geometric Ergodicity of Affine Invariant Ensemble Langevin and its Discrete Time Variants

Modeling, state estimation, and optimal control for the US COVID-19 outbreak

Learning Quadrotor Dynamics Using Neural Network for Flight Control