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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2,221 to 2,280 of 2,615

Safe Control of Semi-Explicit Differential-Algebraic Systems: Control Barrier Functions with SOS Verification
Mohamad H. Kazma, Hongchao Zhang, Abdallah A. Albustami +4
eess.SYcs.SYmath.OCarXiv:2610.09634v12026
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu, Rong Jin, Sen Yang
math.OCcs.LGarXiv:1905.03817v12019
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 1
Ehsan Taheri, John L. Junkins, Ilya Kolmanovsky +1
math.OCcs.SYeess.SYarXiv:1910.09109v12019
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach
Maojiao Ye, Guoqiang Hu
econ.GNeess.SYmath.OCarXiv:1508.02636v32015
An Introduction to Pursuit-evasion Differential Games
Isaac E. Weintraub, Meir Pachter, Eloy Garcia
math.OCarXiv:2003.05013v12020
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
math.OCcs.LGstat.MLarXiv:1511.05932v12015
Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design
Chuhan Yang, Chenxi Wang, Linhan Wu +1
math.OCcs.LGarXiv:2608.27873v12026
Parallelizing the dual revised simplex method
Q. Huangfu, J. A. J. Hall
math.OCmath.NAarXiv:1503.01889v12015
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
cs.LGcs.AImath.OCarXiv:2006.13165v42020
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1711.00851v32017
Slow Learners are Fast
John Langford, Alexander Smola, Martin Zinkevich
math.OCstat.MLarXiv:0911.0491v12009
Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints
Joel A. Paulson, Edward A. Buehler, Richard D. Braatz +1
math.OCeess.SYarXiv:1506.08471v12015
MARINA: Faster Non-Convex Distributed Learning with Compression
Eduard Gorbunov, Konstantin Burlachenko, Zhize Li +1
cs.LGmath.OCarXiv:2102.07845v32021
Feasible Point Pursuit and Successive Approximation of Non-convex QCQPs
Omar Mehanna, Kejun Huang, Balasubramanian Gopalakrishnan +2
math.OCarXiv:1410.2277v12014
On the Convergence Rate of Incremental Aggregated Gradient Algorithms
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo Parrilo
math.OCarXiv:1506.02081v12015
Interior Point Differential Dynamic Programming
Andrei Pavlov, Iman Shames, Chris Manzie
eess.SYcs.SYmath.OCarXiv:2004.12710v22020
A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling
Xiaoyu Chen, Gerhard Reinelt, Guangming Dai +1
math.OCcs.CEarXiv:1811.12114v22018
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey +2
cs.LGcs.ROmath.OCarXiv:2006.12466v12020
Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning
Yanwei Jia, Du Ouyang, Yufei Zhang
cs.LGcs.NAmath.NAarXiv:2503.09981v22025
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma, Hongshu Guo, Jiacheng Chen +4
math.OCcs.AIcs.CLarXiv:2403.01131v22024
Control and Estimation Co-Design via Envelope-Theorem Gradients
Mohammad S. Ramadan, Philip Dinenis, Mihai Anitescu
eess.SYcs.SYmath.OCarXiv:2609.36090v12026
Optimization Methods for Large-Scale Machine Learning
Léon Bottou, Frank E. Curtis, Jorge Nocedal
stat.MLcs.LGmath.OCarXiv:1606.04838v32016
Restorative Control and the Limits of Safe Model Discrimination
Micheal Myers Jr
eess.SYcs.SYmath.OCarXiv:2610.09442v12026
Control of Homodirectional and General Heterodirectional Linear Coupled Hyperbolic PDEs
Long Hu, Florent Di Meglio, Rafael Vazquez +1
math.OCarXiv:1504.07491v12015
Fast Convergence Rates for Distributed Non-Bayesian Learning
Angelia Nedić, Alex Olshevsky, César A. Uribe
math.OCarXiv:1508.05161v52015
On generalized terminal state constraints for model predictive control
Lorenzo Fagiano, Andrew R. Teel
eess.SYmath.OCarXiv:1207.0788v22012
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
cs.LGcs.AImath.OCarXiv:2106.05126v32021
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04746v42019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019
An analysis of Mirror-Descent Soft Actor-Critic
Denis Zorba, Michal Valko
cs.LGmath.OCarXiv:2609.35466v12026
A Theory on Adam Instability in Large-Scale Machine Learning
Igor Molybog, Peter Albert, Moya Chen +14
cs.LGcs.AImath.OCarXiv:2304.09871v22023
A General Analysis of the Convergence of ADMM
Robert Nishihara, Laurent Lessard, Benjamin Recht +2
math.OCmath.NAarXiv:1502.02009v32015
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Zhifang Zhan, Jian-Feng Cai, Di Guo +3
cs.CVmath.OCphysics.med-pharXiv:1503.02945v22015
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang, Kaiyi Ji, Yingbin Liang
cs.LGmath.OCstat.MLarXiv:2106.04692v22021
Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space
You Wan, Ting Gao, Jinqiao Duan
stat.MLcs.LGmath.OCarXiv:2610.08883v12026
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov +8
cs.LGmath.OCarXiv:2012.03826v62020
Noise-Induced Navigation in Non-convex Domains and Compact Manifolds
Karthik Elamvazhuthi
math.OCcs.ROcs.SYarXiv:2610.10949v12026
Randomized Quasi-Gauss--Newton Methods for Solving General Nonlinear Equations
Chengchang Liu, Luo Luo
math.OCmath.NAarXiv:2608.27084v12026
Robust Scenario-Based Data-Enabled Predictive Control of a Battery Energy Storage System: An Experimental Study
Sebastian Zieglmeier, Nikolas Recke, Mathias Hudoba de Badyn
eess.SYcs.SYmath.OCarXiv:2610.08702v12026
State-Dependent Temperature Control for Langevin Diffusions
Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou
math.OCcs.LGarXiv:2011.07456v32020
Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
Jie Lu, Choon Yik Tang
eess.SYcs.DCmath.OCarXiv:1104.5422v32011
A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing
Xiaoxing Ren, Thomas Parisini, Andreas A. Malikopoulos
math.OCcs.LGeess.SYarXiv:2609.26783v12026
Turnpike properties in nonlinear system identification
Julian D. Schiller, Matthias A. Müller
eess.SYmath.OCarXiv:2609.02071v12026
Input-to-state stability of nonlinear impulsive systems
Sergey Dashkovskiy, Andrii Mironchenko
math.DSmath.OCarXiv:1212.5481v12012
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao, Lacra Pavel
math.OCcs.LGarXiv:1704.00805v42017
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGmath.OCstat.MLarXiv:2003.00307v22020
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
Bjarne Grimstad, Henrik Andersson
math.OCcs.LGarXiv:1907.03140v32019
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
cs.LGmath.OCstat.MLarXiv:1704.00708v12017
Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor
Ashutosh Nayyar, Tamer Basar, Demosthenis Teneketzis +1
eess.SYmath.OCarXiv:1205.6018v12012
Optimal Power Flow in Stand-alone DC Microgrids
Jia Li, Feng Liu, Zhaojian Wang +2
math.OCarXiv:1708.05140v12017
Subgradient methods for sharp weakly convex functions
Damek Davis, Dmitriy Drusvyatskiy, Kellie J. MacPhee +1
math.OCarXiv:1803.02461v12018
Approximating Energy-Regulation Feasible Region of Virtual Power Plants: A Data-driven Inverse Optimization Approach
Ruike Lyu, Hongye Guo, Qixin Chen
math.OCeess.SYarXiv:2608.25248v12026
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori +2
cs.LGmath.OCstat.MLarXiv:1912.03193v12019
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery +5
cs.LGmath.OCstat.MLarXiv:2106.03760v32021
Resource Allocation Under Channel Uncertainties for Relay-Aided Device-to-Device Communication Underlaying LTE-A Cellular Networks
Monowar Hasan, Ekram Hossain, Dong In Kim
cs.NIcs.ITmath.OCarXiv:1401.6683v12014
Robust subspace clustering
Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
cs.LGcs.ITmath.OCarXiv:1301.2603v32013
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
Jingyuan Xia, Shengxi Li, Jun-Jie Huang +2
cs.LGmath.OCstat.MLarXiv:2009.04899v72020
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han, Weinan E
cs.LGcs.AIcs.NEarXiv:1611.07422v12016
Convex computation of the maximum controlled invariant set for polynomial control systems
Milan Korda, Didier Henrion, Colin N. Jones
math.OCarXiv:1303.6469v12013

Optimization and Control

Safe Control of Semi-Explicit Differential-Algebraic Systems: Control Barrier Functions with SOS Verification

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 1

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

Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach

An Introduction to Pursuit-evasion Differential Games

On the Global Linear Convergence of Frank-Wolfe Optimization Variants

Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

Parallelizing the dual revised simplex method

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping

Provable defenses against adversarial examples via the convex outer adversarial polytope

Slow Learners are Fast

Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints

MARINA: Faster Non-Convex Distributed Learning with Compression

Feasible Point Pursuit and Successive Approximation of Non-convex QCQPs

On the Convergence Rate of Incremental Aggregated Gradient Algorithms

Interior Point Differential Dynamic Programming

A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling

Information Theoretic Regret Bounds for Online Nonlinear Control

Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Control and Estimation Co-Design via Envelope-Theorem Gradients

Optimization Methods for Large-Scale Machine Learning

Restorative Control and the Limits of Safe Model Discrimination

Control of Homodirectional and General Heterodirectional Linear Coupled Hyperbolic PDEs

Fast Convergence Rates for Distributed Non-Bayesian Learning

On generalized terminal state constraints for model predictive control

Efficient Active Search for Combinatorial Optimization Problems

Tighter Theory for Local SGD on Identical and Heterogeneous Data

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations

An analysis of Mirror-Descent Soft Actor-Critic

A Theory on Adam Instability in Large-Scale Machine Learning

A General Analysis of the Convergence of ADMM

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Provably Faster Algorithms for Bilevel Optimization

Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Noise-Induced Navigation in Non-convex Domains and Compact Manifolds

Randomized Quasi-Gauss--Newton Methods for Solving General Nonlinear Equations

Robust Scenario-Based Data-Enabled Predictive Control of a Battery Energy Storage System: An Experimental Study

State-Dependent Temperature Control for Langevin Diffusions

Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case

A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing

Turnpike properties in nonlinear system identification

Input-to-state stability of nonlinear impulsive systems

On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs

No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis

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

Optimal Power Flow in Stand-alone DC Microgrids

Subgradient methods for sharp weakly convex functions

Approximating Energy-Regulation Feasible Region of Virtual Power Plants: A Data-driven Inverse Optimization Approach

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning

Resource Allocation Under Channel Uncertainties for Relay-Aided Device-to-Device Communication Underlaying LTE-A Cellular Networks

Robust subspace clustering

Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization

Deep Learning Approximation for Stochastic Control Problems

Convex computation of the maximum controlled invariant set for polynomial control systems