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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361 to 420 of 1,590

Analysis of unconstrained nonlinear MPC schemes with time varying control horizon
Lars Grüne, Jürgen Pannek, Martin Seehafer +1
math.OCarXiv:1006.2529v12010
Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions
Jiaxiang Li
math.OCcs.LGarXiv:2609.04578v12026
Multiplayer Reach-Avoid Games via Pairwise Outcomes
Mo Chen, Zhengyuan Zhou, Claire J. Tomlin
math.OCarXiv:1611.00450v12016
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sébastien Bubeck +2
math.OCarXiv:1806.00291v12018
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2005.10190v42020
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
Dingzhi Yu, Hongyi Tao, Yuanyu Wan +2
cs.LGcs.CLmath.OCarXiv:2602.07425v22026
Nonconvex notions of regularity and convergence of fundamental algorithms for feasibility problems
Robert Hesse, D. Russell Luke
math.OCmath.NAarXiv:1212.3349v22012
Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression
Francis Bach
math.STcs.LGmath.OCarXiv:1303.6149v32013
Forward-backward quasi-Newton methods for nonsmooth optimization problems
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
math.OCarXiv:1604.08096v22016
Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning
Ming Xiang, Stratis Ioannidis, Edmund Yeh +2
cs.LGcs.DCmath.OCarXiv:2609.04763v12026
Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
Jeffrey Fang, Glen Chou
cs.ROcs.AIeess.SYarXiv:2604.07644v12026
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
stat.MLcs.DCcs.LGarXiv:1511.06051v42015
Convex Optimization in Julia
Madeleine Udell, Karanveer Mohan, David Zeng +3
math.OCcs.MSstat.MLarXiv:1410.4821v12014
Nonlinear model reduction for transport-dominated problems
Jan S. Hesthaven, Benjamin Peherstorfer, Benjamin Unger
math.NAcs.LGmath.OCarXiv:2602.01397v12026
Weak convergence on Douglas-Rachford method
B. F. Svaiter
math.OCmath.FAarXiv:1007.2173v12010
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization
Alekh Agarwal, Animashree Anandkumar, Prateek Jain +1
cs.LGmath.OCstat.MLarXiv:1310.7991v22013
From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence
Massimo Fornasier, Hui Huang, Jona Klemenc +1
math.OCmath.NAarXiv:2602.11677v12026
Mean-Field Optimal Control
Massimo Fornasier, Francesco Solombrino
math.OCarXiv:1306.5913v12013
The Newton-Muon Optimizer
Zhehang Du, Weijie Su
math.OCcs.AIcs.LGarXiv:2604.01472v12026
MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics
Jose A Egea, David Henriques, Thomas Cokelaer +3
math.OCcs.CEcs.MSarXiv:1311.5735v12013
Aggregate Power Flexibility in Unbalanced Distribution Systems
Xin Chen, Emiliano Dall'Anese, Changhong Zhao +1
eess.SYmath.OCarXiv:1812.05990v22018
Diffusion Adaptation over Networks under Imperfect Information Exchange and Non-stationary Data
Xiaochuan Zhao, Sheng-Yuan Tu, Ali H. Sayed
math.OCcs.SIphysics.soc-pharXiv:1112.6212v32011
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
Anutam Srinivasan, Antoine Leeman, Glen Chou
cs.ROcs.LGeess.SYarXiv:2602.12047v12026
Fast convex optimization via inertial dynamics with Hessian driven damping
Hedy Attouch, Juan Peypouquet, Patrick Redont
math.OCarXiv:1601.07113v12016
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Wenlong Mou, Liwei Wang, Xiyu Zhai +1
cs.LGmath.OCstat.MLarXiv:1707.05947v12017
Distributed convergence to Nash equilibria in two-network zero-sum games
Bahman Gharesifard, Jorge Cortes
math.OCeess.SYarXiv:1204.0852v22012
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis Bach, Simon Lacoste-Julien, Guillaume Obozinski
cs.LGmath.OCstat.MLarXiv:1203.4523v22012
Swarm Intelligence Based Algorithms: A Critical Analysis
Xin-She Yang
math.OCcs.NEnlin.AOarXiv:1403.7792v12014
First Analysis of Local GD on Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04715v22019
A Progressive Batching L-BFGS Method for Machine Learning
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal +2
math.OCcs.LGstat.MLarXiv:1802.05374v22018
Plug-and-play voltage and frequency control of islanded microgrids with meshed topology
Stefano Riverso, Fabio Sarzo, Giancarlo Ferrari-Trecate
eess.SYmath.OCarXiv:1405.2421v42014
Riemannian Metric and Geometric Mean for Positive Semidefinite Matrices of Fixed Rank
Silvere Bonnabel, Rodolphe Sepulchre
math.OCmath.NAarXiv:0807.4462v22008
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop
Dmitry Kovalev, Samuel Horvath, Peter Richtarik
cs.LGmath.OCstat.MLarXiv:1901.08689v22019
Nonconvex phase synchronization
Nicolas Boumal
math.OCarXiv:1601.06114v32016
Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
Richard Y. Zhang
stat.MLcs.ITcs.LGarXiv:2608.29018v12026
A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization
Iman Rahimi, Amir H. Gandomi, Fang Chen +1
math.OCarXiv:2206.13802v12022
Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies
Lénaïc Chizat, Maria Colombo, Roberto Colombo +1
math.APcs.LGmath.OCarXiv:2603.01977v12026
A note on the $Σ_2^P$-completeness of the Frobenius number
Thomas Rothvoss
cs.CCmath.OCarXiv:2608.30036v12026
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture
Ju Sun, Qing Qu, John Wright
cs.ITcs.CVmath.OCarXiv:1511.03607v32015
Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization
Matthew McCarver, Jing Qin
math.NAcs.LGmath.OCarXiv:2608.28799v12026
Smoothing Traffic Flow via Control of Autonomous Vehicles
Yang Zheng, Jiawei Wang, Keqiang Li
math.OCeess.SYarXiv:1812.09544v22018
Non-Convex Distributed Optimization
Tatiana Tatarenko, Behrouz Touri
math.OCmath.PRarXiv:1512.00895v22015
Controllability transition and nonlocality in network control
Jie Sun, Adilson E. Motter
cond-mat.dis-nnmath.OCnlin.AOarXiv:1305.5848v12013
General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming
Jaehyun Park, Stephen Boyd
math.OCarXiv:1703.07870v22017
Decision-Driven Regularization: A Blended Model for Learning and Optimization
Gar Goei Loke, Qinshen Tang, Yangge Xiao +1
cs.LGmath.OCarXiv:2608.15124v12026
Smart "Predict, then Optimize"
Adam N. Elmachtoub, Paul Grigas
math.OCcs.LGstat.MLarXiv:1710.08005v52017
From Predictive to Prescriptive Analytics
Dimitris Bertsimas, Nathan Kallus
stat.MLcs.LGmath.OCarXiv:1402.5481v42014
Preconditioning Benefits of Spectral Orthogonalization in Muon
Jianhao Ma, Yu Huang, Yuejie Chi +1
cs.LGcs.AImath.OCarXiv:2601.13474v12026
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier +1
cs.LGmath.OCstat.MEarXiv:1903.04703v12019
A Unified Filter for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems
Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli
math.OCeess.SYmath.DSarXiv:1309.6627v42013
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Alinson S. Xavier, Feng Qiu, Shabbir Ahmed
math.OCcs.LGstat.MLarXiv:1902.01697v22019
Disciplined Convex-Concave Programming
Xinyue Shen, Steven Diamond, Yuantao Gu +1
math.OCarXiv:1604.02639v12016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
Tianbao Yang, Lijun Zhang, Rong Jin +1
cs.LGmath.OCstat.MLarXiv:1605.04638v12016
First-order optimization algorithms via inertial systems with Hessian driven damping
Hedy Attouch, Zaki Chbani, Jalal Fadili +1
math.OCarXiv:1907.10536v22019
Linear Contextual Bandits with Knapsacks
Shipra Agrawal, Nikhil R. Devanur
cs.LGmath.OCstat.MLarXiv:1507.06738v22015
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
math.OCcs.DScs.LGarXiv:2011.00364v22020
Optimizing Service Restoration in Distribution Systems with Uncertain Repair Time and Demand
Anmar Arif, Shanshan Ma, Zhaoyu Wang +3
math.OCarXiv:1806.11076v12018
Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter
Denis Belomestny
stat.MLcs.LGmath.OCarXiv:2608.29152v12026
Data-driven control via Petersen's lemma
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
eess.SYmath.DSmath.OCarXiv:2109.12175v12021
Dynamic Average Consensus under Limited Control Authority and Privacy Requirements
Solmaz S. Kia, Jorge Cortes, Sonia Martinez
math.OCarXiv:1401.6463v12014

Optimization and Control

Analysis of unconstrained nonlinear MPC schemes with time varying control horizon

Centered Permutation Prefixes for SGD with Random Reshuffling: Sharp Rates, Hölder Geometry, and Composite Proximal Extensions

Multiplayer Reach-Avoid Games via Pairwise Outcomes

Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

Feature Purification: How Adversarial Training Performs Robust Deep Learning

Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise

Nonconvex notions of regularity and convergence of fundamental algorithms for feasibility problems

Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression

Forward-backward quasi-Newton methods for nonsmooth optimization problems

Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU

SparkNet: Training Deep Networks in Spark

Convex Optimization in Julia

Nonlinear model reduction for transport-dominated problems

Weak convergence on Douglas-Rachford method

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence

Mean-Field Optimal Control

The Newton-Muon Optimizer

MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics

Aggregate Power Flexibility in Unbalanced Distribution Systems

Diffusion Adaptation over Networks under Imperfect Information Exchange and Non-stationary Data

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis

Fast convex optimization via inertial dynamics with Hessian driven damping

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints

Distributed convergence to Nash equilibria in two-network zero-sum games

On the Equivalence between Herding and Conditional Gradient Algorithms

Swarm Intelligence Based Algorithms: A Critical Analysis

First Analysis of Local GD on Heterogeneous Data

A Progressive Batching L-BFGS Method for Machine Learning

Plug-and-play voltage and frequency control of islanded microgrids with meshed topology

Riemannian Metric and Geometric Mean for Positive Semidefinite Matrices of Fixed Rank

Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop

Nonconvex phase synchronization

Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO

A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization

Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies

A note on the $Σ_2^P$-completeness of the Frobenius number

Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture

Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization

Smoothing Traffic Flow via Control of Autonomous Vehicles

Non-Convex Distributed Optimization

Controllability transition and nonlocality in network control

General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming

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

Smart "Predict, then Optimize"

From Predictive to Prescriptive Analytics

Preconditioning Benefits of Spectral Orthogonalization in Muon

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning

A Unified Filter for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems

Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems

Disciplined Convex-Concave Programming

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

First-order optimization algorithms via inertial systems with Hessian driven damping

Linear Contextual Bandits with Knapsacks

Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization

Optimizing Service Restoration in Distribution Systems with Uncertain Repair Time and Demand

Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter

Data-driven control via Petersen's lemma

Dynamic Average Consensus under Limited Control Authority and Privacy Requirements