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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961 to 1,020 of 1,592

Optimal load-side control for frequency regulation in smart grids
Enrique Mallada, Changhong Zhao, Steven H. Low
math.OCcs.MAeess.SYarXiv:1410.2931v32014
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1712.09677v22017
Algorithms for CVaR Optimization in MDPs
Yinlam Chow, Mohammad Ghavamzadeh
cs.AImath.OCarXiv:1406.3339v32014
Generalization as a robust performance property of learning-enabled dynamical systems
Filippo Fabiani
eess.SYcs.LGmath.OCarXiv:2608.30431v12026
Regularized Discrete Optimal Transport
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré +1
cs.CVcs.DMmath.OCarXiv:1307.5551v12013
Enhancing Interpretability of Stochastic Programming Solutions: A Multiparametric Approach
Parth Brahmbhatt, Styliani Avraamidou
math.OCeess.SYarXiv:2608.30137v12026
Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment
Ashish Cherukuri, Jorge Cortes
math.OCarXiv:1409.4382v12014
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro, Aviv Tamar, Shie Mannor
cs.LGcs.CYmath.OCarXiv:1206.6404v12012
Handbook of Convergence Theorems for (Stochastic) Gradient Methods
Guillaume Garrigos, Robert M. Gower
math.OCarXiv:2301.11235v32023
Better Theory for SGD in the Nonconvex World
Ahmed Khaled, Peter Richtárik
math.OCcs.LGstat.MLarXiv:2002.03329v32020
Strong NP-hardness of AC power flows feasibility
Daniel Bienstock, Abhinav Verma
math.OCarXiv:1512.07315v22015
Optimized first-order methods for smooth convex minimization
Donghwan Kim, Jeffrey A. Fessler
math.OCarXiv:1406.5468v42014
Grid-forming Control for Power Converters based on Matching of Synchronous Machines
Catalin Arghir, Taouba Jouini, Florian Dorfler
math.OCarXiv:1706.09495v32017
Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs
Soummya Kar, Jose' M. F. Moura
cs.ITmath.OCmath.PRarXiv:1011.1677v12010
Splitting methods with variable metric for KL functions
Pierre Frankel, Guillaume Garrigos, Juan Peypouquet
math.OCarXiv:1405.1357v22014
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
Simon S. Du, Jason D. Lee, Yuandong Tian +2
cs.LGcs.AIcs.CVarXiv:1712.00779v22017
Synchronization of Interconnected Systems with Applications to Biochemical Networks: an Input-Output Approach
L. Scardovi, M. Arcak, E. D. Sontag
math.OCarXiv:0903.1882v12009
Review of Metaheuristics and Generalized Evolutionary Walk Algorithm
Xin-She Yang
math.OCnlin.AOarXiv:1105.3668v12011
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
Aymeric Dieuleveut, Nicolas Flammarion, Francis Bach
math.OCcs.LGstat.MLarXiv:1602.05419v22016
Federated Learning with Partial Model Personalization
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed +3
cs.LGcs.DCmath.OCarXiv:2204.03809v22022
On Biased Compression for Distributed Learning
Aleksandr Beznosikov, Samuel Horváth, Peter Richtárik +1
cs.LGcs.DCmath.OCarXiv:2002.12410v42020
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control
Chaoyi Chen, Jiawei Wang, Qing Xu +2
math.OCeess.SYarXiv:2010.16105v42020
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
Nicolas Loizou, Sharan Vaswani, Issam Laradji +1
math.OCcs.LGstat.MLarXiv:2002.10542v32020
Semi-Stochastic Gradient Descent Methods
Jakub Konečný, Peter Richtárik
stat.MLcs.LGmath.NAarXiv:1312.1666v22013
Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems
Yu Jiang, Zhong-Ping Jiang
math.DSmath.OCarXiv:1401.0020v42013
Voltage Stabilization in Microgrids via Quadratic Droop Control
John W. Simpson-Porco, Florian Dorfler, Francesco Bullo
math.OCarXiv:1507.00431v22015
Successive Convexification of Non-Convex Optimal Control Problems and Its Convergence Properties
Yuanqi Mao, Michael Szmuk, Behcet Acikmese
math.OCarXiv:1608.05133v32016
Recovering Compressively Sampled Signals Using Partial Support Information
Michael P. Friedlander, Hassan Mansour, Rayan Saab +1
cs.ITeess.SYmath.OCarXiv:1010.4612v22010
SDPNAL$+$: A Majorized Semismooth Newton-CG Augmented Lagrangian Method for Semidefinite Programming with Nonnegative Constraints
Liuqin Yang, Defeng Sun, Kim-Chuan Toh
math.OCarXiv:1406.0942v12014
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
math.OCcs.LGstat.MLarXiv:1710.10016v32017
An analysis of Uniswap markets
Guillermo Angeris, Hsien-Tang Kao, Rei Chiang +2
q-fin.TRcs.MAmath.OCarXiv:1911.03380v72019
Nonlinear Stabilization under Sampled and Delayed Measurements, and with Inputs Subject to Delay and Zero-Order Hold
Iasson Karafyllis, Miroslav Krstic
math.OCarXiv:1012.2316v12010
Modeling of Network Constraints in Large-scale Capacity Expansion Optimization of Power Grids
Yu Weng, Lara Booth, Priya L. Donti +1
math.OCeess.SYarXiv:2608.28893v12026
Bellman Search in Arbitrary Finite Dimension: A Self-Similar Cell Theorem and Effective Computability of Planar Shoreline Search
Florentin Koch
cs.CGmath.MGmath.OCarXiv:2608.29032v12026
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji +3
cs.LGmath.OCstat.MLarXiv:1905.09997v52019
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization
Stephen Gould, Basura Fernando, Anoop Cherian +3
cs.CVmath.OCarXiv:1607.05447v22016
A Brief Introduction to Manifold Optimization
Jiang Hu, Xin Liu, Zaiwen Wen +1
math.OCarXiv:1906.05450v12019
A counterexample to the Hirsch conjecture
Francisco Santos
math.COcs.DMmath.OCarXiv:1006.2814v32010
A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems
Sergio Pequito, Soummya Kar, A. Pedro Aguiar
math.OCeess.SYarXiv:1309.5868v32013
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
cs.LGcs.CRmath.OCarXiv:2006.15429v22020
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam H. Laradji +2
math.OCcs.LGstat.COarXiv:1506.00552v22015
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang, Percy Liang, Moses Charikar
cs.LGmath.OCstat.MLarXiv:1702.05575v32017
Distributed reactive power feedback control for voltage regulation and loss minimization
Saverio Bolognani, Guido Cavraro, Ruggero Carli +1
math.OCarXiv:1303.7173v22013
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk +3
math.OCcs.LGstat.MLarXiv:1802.03801v22018
Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems
Ying Wang, Yin Xu, Jinghan He +4
math.OCarXiv:1810.06907v32018
Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics
Hanlei Wang
eess.SYcs.ROmath.OCarXiv:1403.5204v32014
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Horia Mania, Xinghao Pan, Dimitris Papailiopoulos +3
stat.MLcs.DCcs.DSarXiv:1507.06970v22015
Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications
Xin-She Yang, Suash Deb, Simon Fong
math.OCarXiv:1203.6577v12012
Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View
Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
cs.ITcs.GTmath.OCarXiv:0806.1565v12008
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel Hsu +2
math.OCcs.LGeess.SYarXiv:1107.1744v22011
Exact Diffusion for Distributed Optimization and Learning --- Part I: Algorithm Development
Kun Yuan, Bicheng Ying, Xiaochuan Zhao +1
math.OCarXiv:1702.05122v22017
Newton-Raphson Consensus for Distributed Convex Optimization
Damiano Varagnolo, Filippo Zanella, Angelo Cenedese +2
math.OCarXiv:1511.01509v12015
Feasible Point Pursuit and Successive Approximation of Non-convex QCQPs
Omar Mehanna, Kejun Huang, Balasubramanian Gopalakrishnan +2
math.OCarXiv:1410.2277v12014
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale +4
cs.LGcs.DCmath.OCarXiv:2008.03606v22020
Non-asymptotic Identification of LTI Systems from a Single Trajectory
Samet Oymak, Necmiye Ozay
cs.LGeess.SYmath.OCarXiv:1806.05722v22018
Input-to-state stability of nonlinear impulsive systems
Sergey Dashkovskiy, Andrii Mironchenko
math.DSmath.OCarXiv:1212.5481v12012
Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration
Shuhan Yao, Peng Wang, Xiaochuan Liu +2
math.OCarXiv:1905.06599v22019
A new generation 99 line Matlab code for compliance Topology Optimization and its extension to 3D
Federico Ferrari, Ole Sigmund
cs.CEmath.OCarXiv:2005.05436v22020
Conditions for synchronizability in arrays of coupled linear systems
S. Emre Tuna
math.DSmath.OCarXiv:0811.3530v12008

Optimization and Control

Optimal load-side control for frequency regulation in smart grids

Improvements to deep convolutional neural networks for LVCSR

Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods

Algorithms for CVaR Optimization in MDPs

Generalization as a robust performance property of learning-enabled dynamical systems

Regularized Discrete Optimal Transport

Enhancing Interpretability of Stochastic Programming Solutions: A Multiparametric Approach

Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment

Policy Gradients with Variance Related Risk Criteria

Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Better Theory for SGD in the Nonconvex World

Strong NP-hardness of AC power flows feasibility

Optimized first-order methods for smooth convex minimization

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

Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs

Splitting methods with variable metric for KL functions

Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima

Synchronization of Interconnected Systems with Applications to Biochemical Networks: an Input-Output Approach

Review of Metaheuristics and Generalized Evolutionary Walk Algorithm

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Federated Learning with Partial Model Personalization

On Biased Compression for Distributed Learning

Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control

Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence

Semi-Stochastic Gradient Descent Methods

Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems

Voltage Stabilization in Microgrids via Quadratic Droop Control

Successive Convexification of Non-Convex Optimal Control Problems and Its Convergence Properties

Recovering Compressively Sampled Signals Using Partial Support Information

SDPNAL$+$: A Majorized Semismooth Newton-CG Augmented Lagrangian Method for Semidefinite Programming with Nonnegative Constraints

Regularization via Mass Transportation

An analysis of Uniswap markets

Nonlinear Stabilization under Sampled and Delayed Measurements, and with Inputs Subject to Delay and Zero-Order Hold

Modeling of Network Constraints in Large-scale Capacity Expansion Optimization of Power Grids

Bellman Search in Arbitrary Finite Dimension: A Self-Similar Cell Theorem and Effective Computability of Planar Shoreline Search

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

A Brief Introduction to Manifold Optimization

A counterexample to the Hirsch conjecture

A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems

Understanding Gradient Clipping in Private SGD: A Geometric Perspective

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

Distributed reactive power feedback control for voltage regulation and loss minimization

SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization

Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications

Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View

Stochastic convex optimization with bandit feedback

Exact Diffusion for Distributed Optimization and Learning --- Part I: Algorithm Development

Newton-Raphson Consensus for Distributed Convex Optimization

Feasible Point Pursuit and Successive Approximation of Non-convex QCQPs

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Non-asymptotic Identification of LTI Systems from a Single Trajectory

Input-to-state stability of nonlinear impulsive systems

Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration

A new generation 99 line Matlab code for compliance Topology Optimization and its extension to 3D

Conditions for synchronizability in arrays of coupled linear systems