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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1,261 to 1,320 of 1,590

Opinion Dynamics in Social Networks with Hostile Camps: Consensus vs. Polarization
Anton V. Proskurnikov, Alexey Matveev, Ming Cao
eess.SYmath.OCarXiv:1508.05034v12015
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
Aryan Mokhtari, Asuman Ozdaglar, Sarath Pattathil
math.OCcs.LGstat.MLarXiv:1901.08511v42019
The numeraire portfolio in semimartingale financial models
Ioannis Karatzas, Constantinos Kardaras
q-fin.PRmath.OCmath.PRarXiv:0803.1877v12008
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt +1
cs.LGmath.OCstat.MLarXiv:1207.4747v42012
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
D. Leventhal, A. S. Lewis
math.OCmath.NAarXiv:0806.3015v12008
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control
Carlos Mastalli, Rohan Budhiraja, Wolfgang Merkt +7
cs.ROmath.OCarXiv:1909.04947v22019
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
Lenaic Chizat, Francis Bach
math.OCcs.LGstat.MLarXiv:2002.04486v42020
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
Gang Wang, Georgios B. Giannakis, Yonina C. Eldar
stat.MLcs.ITmath.OCarXiv:1605.08285v52016
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
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao, Lacra Pavel
math.OCcs.LGarXiv:1704.00805v42017
Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties
Yang Li, Zhen Yang, Guoqing Li +2
eess.SPmath.OCarXiv:1808.05691v12018
Accelerated, Parallel and Proximal Coordinate Descent
Olivier Fercoq, Peter Richtárik
math.OCcs.DCmath.NAarXiv:1312.5799v22013
Approximation Methods for Bilevel Programming
Saeed Ghadimi, Mengdi Wang
math.OCarXiv:1802.02246v12018
A Decentralized Energy-Optimal Control Framework for Connected Automated Vehicles at Signal-Free Intersections
Andreas A. Malikopoulos, Christos G. Cassandras, Yue J. Zhang
math.OCarXiv:1602.03786v82016
Sparse Regularization via Convex Analysis
Ivan Selesnick
math.OCarXiv:1803.06765v12018
Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic
Biao Yin, Abderrahmane Kasmi, Nadir Farhi
cs.LGcs.AImath.OCarXiv:2608.26860v12026
From error bounds to the complexity of first-order descent methods for convex functions
Jérôme Bolte, Trong Phong Nguyen, Juan Peypouquet +1
math.OCarXiv:1510.08234v32015
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu +2
stat.MLcs.LGmath.OCarXiv:1905.00877v62019
Co-Optimized Generation, Transmission, and Storage Expansion: System Value and Optimal Duration of Pumped-Storage Hydropower
Rafael Benchimol Klausner, Rafael Kelman
math.OCeess.SYarXiv:2608.27222v12026
Physics-Informed Neural Networks for Biot's Model via Fixed-Stress Splitting and Energy Natural Gradient Descent
Kexin Sun, Qiang Liu, Minfu Feng +1
math.NAmath.OCarXiv:2608.26303v12026
Exact low-dimensional reformulations for regularized spectral approximation
Shengxiang Deng, Xudong Li, Yangjing Zhang
math.OCmath.NAarXiv:2608.27052v12026
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Stephen J. Wright, Christopher Ré +2
math.OCarXiv:1311.1873v32013
Dispersive Forward Tree Search for Optimal Control: Coverage, Complexity, and Computation
Shashank A. Deshpande, Jonathan P. How
cs.ROmath.OCarXiv:2608.26314v12026
Universal Quantum Control through Deep Reinforcement Learning
Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskiy +1
quant-phmath.OCarXiv:1803.01857v22018
Small gain theorems for large scale systems and construction of ISS Lyapunov functions
Sergey N. Dashkovskiy, Björn S. Rüffer, Fabian R. Wirth
math.OCarXiv:0901.1842v22009
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed, Maziar Sanjabi, Tianjian Huang +2
math.OCcs.LGstat.MLarXiv:1902.08297v32019
From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving
Dipankar Sarkar
cs.AIcs.CLcs.LGarXiv:2608.14771v12026
D-ADMM: A Communication-Efficient Distributed Algorithm For Separable Optimization
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar +1
math.OCarXiv:1202.2805v22012
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
stat.MLcs.AIcs.LGarXiv:2006.05078v32020
Error bounds, quadratic growth, and linear convergence of proximal methods
Dmitriy Drusvyatskiy, Adrian S. Lewis
math.OCarXiv:1602.06661v22016
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data
Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo +1
math.OCarXiv:1511.02746v12015
Slow Learners are Fast
John Langford, Alexander Smola, Martin Zinkevich
math.OCstat.MLarXiv:0911.0491v12009
Event-Triggered State Observers for Sparse Sensor Noise/Attacks
Yasser Shoukry, Paulo Tabuada
math.OCcs.CRcs.ITarXiv:1309.3511v32013
Common Throughput Maximization in UAV-Enabled OFDMA Systems with Delay Consideration
Qingqing Wu, Rui Zhang
cs.ITmath.DSmath.HOarXiv:1801.00444v22018
Model-independent Bounds for Option Prices: A Mass Transport Approach
Mathias Beiglböck, Pierre Henry-Labordère, Friedrich Penkner
q-fin.PRmath.OCq-fin.CParXiv:1106.5929v22011
Generalized Forward-Backward Splitting
Hugo Raguet, Jalal Fadili, Gabriel Peyré
math.OCarXiv:1108.4404v32011
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li, Tao Zhang, Rui Wang
cs.NEmath.OCarXiv:1906.02386v22019
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Randomized Quasi-Gauss--Newton Methods for Solving General Nonlinear Equations
Chengchang Liu, Luo Luo
math.OCmath.NAarXiv:2608.27084v12026
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method
Tsung-Hui Chang, Angelia Nedić, Anna Scaglione
eess.SYmath.OCarXiv:1304.5590v22013
A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
math.OCarXiv:1506.02186v22015
Phase Retrieval from Coded Diffraction Patterns
Emmanuel Candes, Xiaodong Li, Mahdi Soltanolkotabi
cs.ITmath.FAmath.NAarXiv:1310.3240v22013
The Computational Complexity of the Restricted Isometry Property, the Nullspace Property, and Related Concepts in Compressed Sensing
Andreas M. Tillmann, Marc E. Pfetsch
math.OCcs.ITarXiv:1205.2081v62012
Adaptive Robust Optimization with Dynamic Uncertainty Sets for Multi-Period Economic Dispatch under Significant Wind
Alvaro Lorca, Andy Sun
math.OCarXiv:1409.2936v22014
Novel Multidimensional Models of Opinion Dynamics in Social Networks
Sergey E. Parsegov, Anton V. Proskurnikov, Roberto Tempo +1
eess.SYcs.SImath.OCarXiv:1505.04920v52015
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas +1
cs.LGcs.AIcs.DCarXiv:1811.10792v32018
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri +3
cs.LGcs.DCmath.OCarXiv:1910.06378v42019
Batch Policy Learning under Constraints
Hoang M. Le, Cameron Voloshin, Yisong Yue
cs.LGcs.AImath.OCarXiv:1903.08738v12019
Funnel Libraries for Real-Time Robust Feedback Motion Planning
Anirudha Majumdar, Russ Tedrake
cs.ROcs.AIeess.SYarXiv:1601.04037v32016
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu, Elad Hazan
math.OCcs.DScs.LGarXiv:1603.05643v22016
Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm
Emil Y. Sidky, Jakob H. Jørgensen, Xiaochuan Pan
math.NAmath.OCphysics.med-pharXiv:1111.5632v22011
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud +2
cs.LGmath.OCstat.MLarXiv:1802.10551v52018
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems
Nikos Komodakis, Jean-Christophe Pesquet
math.NAcs.CVcs.LGarXiv:1406.5429v22014
Hybrid Deterministic-Stochastic Methods for Data Fitting
Michael P. Friedlander, Mark Schmidt
math.NAeess.SYmath.OCarXiv:1104.2373v42011
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
stat.MLcs.LGmath.OCarXiv:1605.07221v22016
Convex Relaxations and Linear Approximation for Optimal Power Flow in Multiphase Radial Networks
Lingwen Gan, Steven H. Low
math.OCarXiv:1406.3054v12014
Optimal control as a graphical model inference problem
B. Kappen, V. Gomez, M. Opper
math.OCeess.SYarXiv:0901.0633v32009
Data-driven discovery of Koopman eigenfunctions for control
Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton
math.OCmath.DSarXiv:1707.01146v42017
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
cs.AImath.OCarXiv:1506.02188v12015
Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
Mehdi El Krari, Jonathan Smith, Maria Fox
math.OCcs.ROarXiv:2608.27271v12026

Optimization and Control

Opinion Dynamics in Social Networks with Hostile Camps: Consensus vs. Polarization

A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach

The numeraire portfolio in semimartingale financial models

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow

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

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

Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties

Accelerated, Parallel and Proximal Coordinate Descent

Approximation Methods for Bilevel Programming

A Decentralized Energy-Optimal Control Framework for Connected Automated Vehicles at Signal-Free Intersections

Sparse Regularization via Convex Analysis

Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic

From error bounds to the complexity of first-order descent methods for convex functions

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Co-Optimized Generation, Transmission, and Storage Expansion: System Value and Optimal Duration of Pumped-Storage Hydropower

Physics-Informed Neural Networks for Biot's Model via Fixed-Stress Splitting and Energy Natural Gradient Descent

Exact low-dimensional reformulations for regularized spectral approximation

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm

Dispersive Forward Tree Search for Optimal Control: Coverage, Complexity, and Computation

Universal Quantum Control through Deep Reinforcement Learning

Small gain theorems for large scale systems and construction of ISS Lyapunov functions

Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods

From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving

D-ADMM: A Communication-Efficient Distributed Algorithm For Separable Optimization

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Error bounds, quadratic growth, and linear convergence of proximal methods

A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data

Slow Learners are Fast

Event-Triggered State Observers for Sparse Sensor Noise/Attacks

Common Throughput Maximization in UAV-Enabled OFDMA Systems with Delay Consideration

Model-independent Bounds for Option Prices: A Mass Transport Approach

Generalized Forward-Backward Splitting

Deep Reinforcement Learning for Multi-objective Optimization

Federated Multi-Task Learning under a Mixture of Distributions

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

Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

A Universal Catalyst for First-Order Optimization

Phase Retrieval from Coded Diffraction Patterns

The Computational Complexity of the Restricted Isometry Property, the Nullspace Property, and Related Concepts in Compressed Sensing

Adaptive Robust Optimization with Dynamic Uncertainty Sets for Multi-Period Economic Dispatch under Significant Wind

Novel Multidimensional Models of Opinion Dynamics in Social Networks

Stochastic Gradient Push for Distributed Deep Learning

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Batch Policy Learning under Constraints

Funnel Libraries for Real-Time Robust Feedback Motion Planning

Variance Reduction for Faster Non-Convex Optimization

Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

A Variational Inequality Perspective on Generative Adversarial Networks

Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems

Hybrid Deterministic-Stochastic Methods for Data Fitting

Global Optimality of Local Search for Low Rank Matrix Recovery

Convex Relaxations and Linear Approximation for Optimal Power Flow in Multiphase Radial Networks

Optimal control as a graphical model inference problem

Data-driven discovery of Koopman eigenfunctions for control

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach

Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact