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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2,521 to 2,580 of 2,606

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
Raphaël Berthier
cs.LGmath.OCstat.MLarXiv:2609.01034v12026
Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach
Andrey Bernstein, Emiliano Dall'Anese
math.OCarXiv:1711.01627v52017
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization
Digvijay Boob, Qi Deng, Guanghui Lan
math.OCcs.LGarXiv:1908.02734v42019
Fixed-Time Stable Gradient Flows: Applications to Continuous-Time Optimization
Kunal Garg, Dimitra Panagou
math.OCarXiv:1808.10474v52018
Path Invariance of a Quadrotor System under Cyber Attacks with Theoretical Guarantees
Hamza Mahmood, Usman Ali, Adeel Akhtar
eess.SYcs.SYmath.OCarXiv:2609.32747v12026
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
T. Alamo, R. Tempo, A. Luque +1
eess.SYmath.OCarXiv:1304.0678v22013
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming
Chao Ning, Fengqi You
cs.LGmath.OCstat.MLarXiv:1904.01934v12019
Rank-Sparsity Incoherence for Matrix Decomposition
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo +1
math.OCmath.STarXiv:0906.2220v12009
The Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Games
Alain Bensoussan, Shaokuan Chen, Suresh P. Sethi
math.OCarXiv:1210.3124v22012
Asymmetric Forward-Backward-Adjoint Splitting for Solving Monotone Inclusions Involving Three Operators
Puya Latafat, Panagiotis Patrinos
math.OCarXiv:1602.08729v32016
Gradient Methods for Submodular Maximization
Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi
cs.LGmath.OCarXiv:1708.03949v22017
Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)
Taeyoung Lee, Melvin Leok, N. Harris McClamroch
math.OCarXiv:1003.2005v32010
Nonlinear Model Predictive Control for Constrained Output Path Following
Timm Faulwasser, Rolf Findeisen
eess.SYmath.OCarXiv:1502.02468v12015
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1209.2388v32012
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal +2
cs.LGmath.OCarXiv:1609.04836v22016
Algorithm Engineering in Robust Optimization
Marc Goerigk, Anita Schöbel
math.OCcs.DSarXiv:1505.04901v32015
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan, Tengyu Ma
cs.LGcs.DCmath.OCarXiv:2006.08950v42020
Observability of Boolean control networks: A unified approach based on the theories of finite automata
Kuize Zhang, Lijun Zhang
math.OCarXiv:1405.6780v22014
Provably Safe and Robust Learning-Based Model Predictive Control
Anil Aswani, Humberto Gonzalez, S. Shankar Sastry +1
math.OCcs.LGeess.SYarXiv:1107.2487v22011
Grid-forming Control for Power Converters based on Matching of Synchronous Machines
Catalin Arghir, Taouba Jouini, Florian Dorfler
math.OCarXiv:1706.09495v32017
Adaptive Variance Reduction without Knowing Oracle Smoothness
Wei Jiang, Yibo Wang, Zechao Li
math.OCcs.LGarXiv:2610.13799v12026
Realistic Control of Network Dynamics
Sean P. Cornelius, William L. Kath, Adilson E. Motter
cond-mat.dis-nnmath.OCnlin.AOarXiv:1307.0015v12013
Koopman-based lifting techniques for nonlinear systems identification
Alexandre Mauroy, Jorge Goncalves
math.OCeess.SYmath.DSarXiv:1709.02003v42017
Eigenvalues of the Hessian in Deep Learning: The Origin of Symmetry and Its Breaking
Yossi Arjevani
cs.LGmath.OCstat.MLarXiv:2610.09919v12026
A Function-Space Framework for BDDC Preconditioning in Control- and State-Constrained Sparse Optimal Control
Harbir Antil, Keegan L. A. Kirk, Umarkhon Rakhimov
math.OCcs.NAmath.NAarXiv:2609.09541v12026
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
cs.LGcs.GTcs.SYarXiv:1906.00729v42019
Energy Efficiency Optimization in Relay-Assisted MIMO Systems with Perfect and Statistical CSI
Alessio Zappone, Pan Cao, Eduard A. Jorswieck
cs.ITmath.ITmath.OCarXiv:1310.7794v32013
When is a Convolutional Filter Easy To Learn?
Simon S. Du, Jason D. Lee, Yuandong Tian
cs.LGcs.AIcs.CVarXiv:1709.06129v22017
Energy-aware frugal Bayesian optimization
Gaston Plat, Paul Saves, Nathalie Bartoli +2
cs.LGcs.AImath.OCarXiv:2609.31638v12026
Decision-Driven Regularization: A Blended Model for Learning and Optimization
Gar Goei Loke, Qinshen Tang, Yangge Xiao +1
cs.LGmath.OCarXiv:2608.15124v12026
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
Pascal Bianchi, Walid Hachem, Franck Iutzeler
math.OCcs.DCcs.NAarXiv:1407.0898v32014
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang, Li Shen, Long Yang +4
cs.LGcs.AImath.OCarXiv:2205.11814v22022
From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint
Mihailo R. Jovanović
physics.flu-dyncs.SYeess.SYarXiv:2003.10104v12020
A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar, Jiaxi Ying, José Vinícius de M. Cardoso +1
stat.MLcs.LGcs.SIarXiv:1904.09792v12019
Cuckoo Search: A Brief Literature Review
I. Fister Jr., X. S. Yang, D. Fister +1
math.OCcs.NEnlin.AOarXiv:1408.5343v12014
Evaluation of portability and performance of an OpenMP5 offloaded Quantum-Inspired Evolutionary Optimization Across the GPU Ecosystem
Kasturi Venkata Srikanth, Ashish Singh, Ferdin Sagai Don Bosco +4
cs.PFmath.OCarXiv:2609.30862v12026
Neural Algorithmic Reasoning
Petar Veličković, Charles Blundell
cs.LGcs.AIcs.DSarXiv:2105.02761v12021
Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition
Mark Schmidt, Nicolas Le Roux
math.OCarXiv:1308.6370v12013
Linear tracking MPC for nonlinear systems Part II: The data-driven case
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
math.OCeess.SYarXiv:2105.08567v42021
High-Speed Finite Control Set Model Predictive Control for Power Electronics
Bartolomeo Stellato, Tobias Geyer, Paul J. Goulart
math.OCarXiv:1510.05578v32015
Beyond Phase Reduction: Amplitude Collapse in Optimal Control of Coupled Oscillators
Faranak Rajabi, Frédéric Gibou, Jeff Moehlis
math.OCeess.SYmath.NAarXiv:2609.16449v12026
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control
Urban Fasel, J. Nathan Kutz, Bingni W. Brunton +1
math.NAmath.DSmath.OCarXiv:2111.10992v12021
Collaborative vehicle routing: a survey
Margaretha Gansterer, Richard F. Hartl
cs.MAcs.AIcs.CYarXiv:1706.05254v12017
The New Frontier in RAN Heterogeneity: Multi-tier Drone-Cells
Irem Bor-Yaliniz, Halim Yanikomeroglu
cs.NImath.OCarXiv:1604.00381v32016
Dynamic Pricing and Distributed Energy Management for Demand Response
Liyan Jia, Lang Tong
math.OCarXiv:1601.02319v22016
Non-convex Optimization for Machine Learning
Prateek Jain, Purushottam Kar
stat.MLcs.LGmath.OCarXiv:1712.07897v12017
Cuckoo Search: Recent Advances and Applications
Xin-She Yang, Suash Deb
math.OCcs.NEnlin.AOarXiv:1408.5316v12014
Manopt, a Matlab toolbox for optimization on manifolds
Nicolas Boumal, Bamdev Mishra, P. -A. Absil +1
cs.MScs.LGmath.OCarXiv:1308.5200v12013
Sensor Management: Past, Present, and Future
Alfred O. Hero, Douglas Cochran
stat.APcs.ROeess.SYarXiv:1109.2363v12011
Eagle Strategy Using Lévy Walk and Firefly Algorithms For Stochastic Optimization
Xin-She Yang, Suash Deb
math.OCarXiv:1004.4165v12010
A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning
Ids van der Werf, Sergio Rozada, Antonio G. Marques
cs.LGeess.SPmath.OCarXiv:2609.29961v12026
Reliability Theory for AI Control
Grant Molnar
cs.AImath.OCarXiv:2609.26419v12026
Parallel Optimization: Theory, Algorithms, and Applications,
Yair Censor, Stavros A. Zenios
math.OCmath.FAmath.NAarXiv:2609.24505v12026
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
Gili Rosenberg, Poya Haghnegahdar, Phil Goddard +3
q-fin.CPcs.DSmath.OCarXiv:1508.06182v32015
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Zihao Li, Yuan Cao, Cheng Gao +5
cs.LGcs.AImath.OCarXiv:2411.10830v12024
A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
math.OCcs.LGeess.SYarXiv:2608.29789v12026
Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proof
Ran Xin, Chenguang Xi, Usman A. Khan
math.OCarXiv:1706.07707v12017
Scaling Algorithms for Unbalanced Transport Problems
Lenaic Chizat, Gabriel Peyré, Bernhard Schmitzer +1
math.OCarXiv:1607.05816v22016
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris
cs.GTcs.DScs.SIarXiv:1608.06819v42016
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
cs.LGcs.AIcs.ROarXiv:2007.00708v22020

Optimization and Control

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

Fixed-Time Stable Gradient Flows: Applications to Continuous-Time Optimization

Path Invariance of a Quadrotor System under Cyber Attacks with Theoretical Guarantees

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

Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

Rank-Sparsity Incoherence for Matrix Decomposition

The Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Games

Asymmetric Forward-Backward-Adjoint Splitting for Solving Monotone Inclusions Involving Three Operators

Gradient Methods for Submodular Maximization

Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)

Nonlinear Model Predictive Control for Constrained Output Path Following

On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Algorithm Engineering in Robust Optimization

Federated Accelerated Stochastic Gradient Descent

Observability of Boolean control networks: A unified approach based on the theories of finite automata

Provably Safe and Robust Learning-Based Model Predictive Control

Grid-forming Control for Power Converters based on Matching of Synchronous Machines

Adaptive Variance Reduction without Knowing Oracle Smoothness

Realistic Control of Network Dynamics

Koopman-based lifting techniques for nonlinear systems identification

Eigenvalues of the Hessian in Deep Learning: The Origin of Symmetry and Its Breaking

A Function-Space Framework for BDDC Preconditioning in Control- and State-Constrained Sparse Optimal Control

Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games

Energy Efficiency Optimization in Relay-Assisted MIMO Systems with Perfect and Statistical CSI

When is a Convolutional Filter Easy To Learn?

Energy-aware frugal Bayesian optimization

Decision-Driven Regularization: A Blended Model for Learning and Optimization

A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint

A Unified Framework for Structured Graph Learning via Spectral Constraints

Cuckoo Search: A Brief Literature Review

Evaluation of portability and performance of an OpenMP5 offloaded Quantum-Inspired Evolutionary Optimization Across the GPU Ecosystem

Neural Algorithmic Reasoning

Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition

Linear tracking MPC for nonlinear systems Part II: The data-driven case

High-Speed Finite Control Set Model Predictive Control for Power Electronics

Beyond Phase Reduction: Amplitude Collapse in Optimal Control of Coupled Oscillators

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control

Collaborative vehicle routing: a survey

The New Frontier in RAN Heterogeneity: Multi-tier Drone-Cells

Dynamic Pricing and Distributed Energy Management for Demand Response

Non-convex Optimization for Machine Learning

Cuckoo Search: Recent Advances and Applications

Manopt, a Matlab toolbox for optimization on manifolds

Sensor Management: Past, Present, and Future

Eagle Strategy Using Lévy Walk and Firefly Algorithms For Stochastic Optimization

A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning

Reliability Theory for AI Control

Parallel Optimization: Theory, Algorithms, and Applications,

Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proof

Scaling Algorithms for Unbalanced Transport Problems

Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search