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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481 to 540 of 1,590

An inertial forward-backward algorithm for the minimization of the sum of two nonconvex functions
Radu Ioan Bot, Ernö Robert Csetnek, Szilárd László
math.OCmath.NAarXiv:1410.0641v12014
Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor
Ashutosh Nayyar, Tamer Basar, Demosthenis Teneketzis +1
eess.SYmath.OCarXiv:1205.6018v12012
Learning in Mean Field Games: the Fictitious Play
Pierre Cardaliaguet, Saeed Hadikhanloo
math.OCarXiv:1507.06280v22015
Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization
Nicole Gehring
math.OCeess.SYarXiv:2608.29693v12026
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
Zeyuan Allen-Zhu
cs.LGcs.DSmath.OCarXiv:1801.02982v32018
Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation
Hamed Khosravi, Xiaoming Huo
cs.LGmath.OCstat.MLarXiv:2608.29560v12026
Convergence of Muon with Newton-Schulz
Gyu Yeol Kim, Min-hwan Oh
stat.MLcs.LGmath.OCarXiv:2601.19156v12026
Online Gate-Driven Flow Control in Resin Transfer Moulding Using a Neural-Network Surrogate
Nicholas Wright, Oliver Maclaren, Piaras Kelly +2
math.OCstat.MLarXiv:2608.29521v12026
Optimal Charging of an Electric Vehicle using a Markov Decision Process
Emil B. Iversen, Juan M. Morales, Henrik Madsen
math.OCarXiv:1310.6926v12013
Advances in Trajectory Optimization for Space Vehicle Control
Danylo Malyuta, Yue Yu, Purnanand Elango +1
math.OCcs.LGeess.SYarXiv:2108.02335v22021
Geometric Median in Nearly Linear Time
Michael B. Cohen, Yin Tat Lee, Gary Miller +2
cs.DSmath.OCarXiv:1606.05225v12016
On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms
Fabio Pasqualetti, Antonio Franchi, Francesco Bullo
math.COcs.DSeess.SYarXiv:1101.3973v32011
Age of Information: Whittle Index for Scheduling Stochastic Arrivals
Yu-Pin Hsu
math.OCcs.ITcs.NIarXiv:1801.03422v22018
Optimization Methods for Large-Scale Machine Learning
Léon Bottou, Frank E. Curtis, Jorge Nocedal
stat.MLcs.LGmath.OCarXiv:1606.04838v32016
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Samuel Daulton, David Eriksson, Maximilian Balandat +1
cs.LGcs.AImath.OCarXiv:2109.10964v42021
Fully Distributed Flocking with a Moving Leader for Lagrange Networks with Parametric Uncertainties
Sheida Ghapani, Jie Mei, Wei Ren +1
math.OCarXiv:1507.04778v22015
A non-parametric ensemble transform method for Bayesian inference
Sebastian Reich
math.NAmath.DSmath.OCarXiv:1210.0375v42012
Acceleration Methods
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
math.OCcs.LGmath.NAarXiv:2101.09545v42021
A System Level Approach to Controller Synthesis
Yuh-Shyang Wang, Nikolai Matni, John C. Doyle
eess.SYmath.OCarXiv:1610.04815v32016
A consensus-based model for global optimization and its mean-field limit
René Pinnau, Claudia Totzeck, Oliver Tse +1
math.PRmath.OCarXiv:1604.05648v32016
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
Jérôme Bolte, Edouard Pauwels
math.OCcs.AIcs.LGarXiv:1909.10300v42019
Event-Triggered $H_\infty$ Control: a Switching Approach
Anton Selivanov, Emilia Fridman
math.OCarXiv:1506.01587v32015
Formal Synthesis of Stochastic Systems via Control Barrier Certificates
Pushpak Jagtap, Sadegh Soudjani, Majid Zamani
eess.SYmath.OCarXiv:1905.04585v22019
Dion: Distributed Orthonormalized Updates
Kwangjun Ahn, Byron Xu, Natalie Abreu +5
cs.LGcs.AImath.OCarXiv:2504.05295v32025
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas +1
cs.LGcs.DCeess.SYarXiv:2102.07053v22021
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong +1
math.OCstat.MLarXiv:1902.08294v22019
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick +1
math.OCcs.GTcs.LGarXiv:1908.08465v22019
Fast Algorithms for Online Stochastic Convex Programming
Shipra Agrawal, Nikhil R. Devanur
cs.LGcs.DSmath.OCarXiv:1410.7596v12014
Inverse Optimization with Noisy Data
Anil Aswani, Zuo-Jun Max Shen, Auyon Siddiq
math.OCarXiv:1507.03266v42015
Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness
Yuxing Peng, Zhiqing Tang, Weijia Jia
cs.DScs.LGmath.OCarXiv:2609.00045v12026
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan +4
cs.LGmath.OCarXiv:2503.20762v32025
A Note on the Convergence of Muon
Jiaxiang Li, Mingyi Hong
math.OCarXiv:2502.02900v22025
Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation
Shunbo Lei, Chen Chen, Yue Song +1
math.OCarXiv:1907.04951v12019
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications
Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain +2
math.OCeess.SYarXiv:2006.08500v12020
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado +1
math.OCarXiv:1608.07544v12016
A proximal difference-of-convex algorithm with extrapolation
Bo Wen, Xiaojun Chen, Ting Kei Pong
math.OCarXiv:1612.06265v22016
The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems
Nicholas Boyd, Geoffrey Schiebinger, Benjamin Recht
math.OCarXiv:1507.01562v12015
Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)
Artem Riabinin, Egor Shulgin, Kaja Gruntkowska +1
cs.LGmath.OCstat.MLarXiv:2505.13416v12025
Optimal Vaccine Allocation to Control Epidemic Outbreaks in Arbitrary Networks
Victor M. Preciado, Michael Zargham, Chinwendu Enyioha +2
cs.SImath.OCphysics.soc-pharXiv:1303.3984v12013
On the invariance of risk-sensitive LQR gain under input randomization
Yeongjun Jang
math.OCeess.SYarXiv:2609.02363v12026
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani +1
cs.LGmath.OCstat.MLarXiv:2006.08907v12020
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
Aymeric Dieuleveut, Alain Durmus, Francis Bach
stat.MLmath.OCarXiv:1707.06386v22017
A New Convex Relaxation for Tensor Completion
Bernardino Romera-Paredes, Massimiliano Pontil
cs.LGmath.OCstat.MLarXiv:1307.4653v12013
Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations
Lei Zheng, Liping Yang, Zihao Li +3
cs.AImath.OCarXiv:2609.03860v12026
Reinforcement learning to choose optimizers
Martin van der Schelling, Deepesh Toshniwal, Miguel A. Bessa
cs.NEcs.LGmath.OCarXiv:2609.01811v12026
Reinforcement Learning for Batch Bioprocess Optimization
Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford +2
math.OCeess.SYarXiv:1904.07292v32019
Constraint-Tightening and Stability in Stochastic Model Predictive Control
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
eess.SYmath.OCarXiv:1511.03488v22015
Port-Hamiltonian systems on graphs
A. J. van der Schaft, B. M. Maschke
math.OCeess.SYmath.DSarXiv:1107.2006v22011
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
Alejandro Morales-Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas Gonzalez
cs.LGcs.AImath.OCarXiv:2111.13755v32021
Accelerated primal--dual dynamics and algorithms for convex optimization with nonlinear inequality constraints
Xin He
math.OCmath.NAarXiv:2609.01415v12026
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization
Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski
math.OCstat.COstat.MLarXiv:1302.2325v42013
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
cs.LGcs.ITmath.OCarXiv:1705.04591v22017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis +1
stat.MLcs.ITcs.LGarXiv:1609.03240v22016
Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)
Farhad Goodarzi, Daewon Lee, Taeyoung Lee
math.OCarXiv:1304.6765v12013
Compressed Sensing with Nonlinear Observations and Related Nonlinear Optimisation Problems
Thomas Blumensath
cs.ITmath.OCarXiv:1205.1650v12012
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter, Heinrich Jiang, Serena Wang +4
cs.LGcs.AIcs.GTarXiv:1809.04198v12018
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
cs.LGcs.AImath.OCarXiv:2102.00135v62021
Stochastic Reactive Power Management in Microgrids with Renewables
Vassilis Kekatos, Gang Wang, Antonio J. Conejo +1
math.OCeess.SYarXiv:1409.6758v22014
Saddle-point dynamics: conditions for asymptotic stability of saddle points
Ashish Cherukuri, Bahman Gharesifard, Jorge Cortes
math.OCarXiv:1510.02145v22015

Optimization and Control

An inertial forward-backward algorithm for the minimization of the sum of two nonconvex functions

Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor

Learning in Mean Field Games: the Fictitious Play

Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization

How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD

Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation

Convergence of Muon with Newton-Schulz

Online Gate-Driven Flow Control in Resin Transfer Moulding Using a Neural-Network Surrogate

Optimal Charging of an Electric Vehicle using a Markov Decision Process

Advances in Trajectory Optimization for Space Vehicle Control

Geometric Median in Nearly Linear Time

On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms

Age of Information: Whittle Index for Scheduling Stochastic Arrivals

Optimization Methods for Large-Scale Machine Learning

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Fully Distributed Flocking with a Moving Leader for Lagrange Networks with Parametric Uncertainties

A non-parametric ensemble transform method for Bayesian inference

Acceleration Methods

A System Level Approach to Controller Synthesis

A consensus-based model for global optimization and its mean-field limit

Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning

Event-Triggered $H_\infty$ Control: a Switching Approach

Formal Synthesis of Stochastic Systems via Control Barrier Certificates

Dion: Distributed Orthonormalized Updates

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications

On the convergence of single-call stochastic extra-gradient methods

Fast Algorithms for Online Stochastic Convex Programming

Inverse Optimization with Noisy Data

Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness

ASGO: Adaptive Structured Gradient Optimization

A Note on the Convergence of Muon

Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization

A proximal difference-of-convex algorithm with extrapolation

The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Optimal Vaccine Allocation to Control Epidemic Outbreaks in Arbitrary Networks

On the invariance of risk-sensitive LQR gain under input randomization

Robust Federated Learning: The Case of Affine Distribution Shifts

Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains

A New Convex Relaxation for Tensor Completion

Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations

Reinforcement learning to choose optimizers

Reinforcement Learning for Batch Bioprocess Optimization

Constraint-Tightening and Stability in Stochastic Model Predictive Control

Port-Hamiltonian systems on graphs

A survey on multi-objective hyperparameter optimization algorithms for Machine Learning

Accelerated primal--dual dynamics and algorithms for convex optimization with nonlinear inequality constraints

Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization

Learning ReLUs via Gradient Descent

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach

Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)

Compressed Sensing with Nonlinear Observations and Related Nonlinear Optimisation Problems

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes

Stochastic Reactive Power Management in Microgrids with Renewables

Saddle-point dynamics: conditions for asymptotic stability of saddle points