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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1,921 to 1,980 of 2,615

Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
Giuseppe C. Calafiore
eess.SYcs.LGmath.OCarXiv:2609.01355v12026
Spectral Koopman-Hopf Formula for Reachability with Adversary
Sarang Sutavani, Umesh Vaidya
eess.SYcs.SYmath.OCarXiv:2609.06878v12026
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen
cs.CVcs.AIcs.LGarXiv:2410.05760v22024
A consensus-based global optimization method for high dimensional machine learning problems
José A. Carrillo, Shi Jin, Lei Li +1
math.OCarXiv:1909.09249v22019
Energy-Efficient Power Control: A Look at 5G Wireless Technologies
Alessio Zappone, Luca Sanguinetti, Giacomo Bacci +2
cs.ITmath.OCarXiv:1503.04609v22015
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin, Praneeth Netrapalli, Michael I. Jordan
cs.LGmath.OCstat.MLarXiv:1711.10456v12017
When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming
Mourchid Adegbindin, Brenda Dietrich, Jamol Pender +1
math.OCcs.LGarXiv:2610.12876v12026
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
stat.MLcs.LGmath.OCarXiv:1806.08838v22018
OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control
Tommaso Schettini, Nicholas D. Kullman, Jorge E. Mendoza
cs.LGmath.OCarXiv:2609.30628v12026
Planning to Learn
Ian Osband
cs.LGmath.OCstat.MLarXiv:2610.03667v12026
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li, Tao Zhang, Rui Wang
cs.NEmath.OCarXiv:1906.02386v22019
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen, Paraschos Koutris, Arun Kumar
cs.DBcs.GTcs.LGarXiv:1805.11450v12018
Simultaneously Structured Models with Application to Sparse and Low-rank Matrices
Samet Oymak, Amin Jalali, Maryam Fazel +2
cs.ITmath.OCarXiv:1212.3753v32012
Differentially Private Filtering
Jerome Le Ny, George J. Pappas
math.OCcs.CRarXiv:1207.4305v22012
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri +3
cs.LGcs.DCmath.OCarXiv:1910.06378v42019
ABrA-GD: Adaptive Bregman Accelerated Gradient Descent for Relatively Smooth and (Strongly-)Convex Optimization
Damien Scieur
math.OCcs.NAmath.NAarXiv:2609.38741v12026
Online dynamic mode decomposition for time-varying systems
Hao Zhang, Clarence W. Rowley, Eric A. Deem +1
math.OCeess.SYphysics.comp-pharXiv:1707.02876v12017
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
Synchronization in Complex Oscillator Networks and Smart Grids
Florian Dörfler, Michael Chertkov, Francesco Bullo
math.OCmath-phmath.DSarXiv:1208.0045v12012
Swarm Intelligence Based Algorithms: A Critical Analysis
Xin-She Yang
math.OCcs.NEnlin.AOarXiv:1403.7792v12014
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1712.09677v22017
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi, Praneeth Netrapalli, Prateek Jain +1
cs.LGmath.OCstat.MLarXiv:1803.05591v22018
Joint Optimization of Hybrid Energy Storage and Generation Capacity with Renewable Energy
Peng Yang, Arye Nehorai
math.OCarXiv:1309.5832v12013
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari +1
cs.CVmath.OCarXiv:1705.08983v32017
Behavioral Portfolio Selection in Continuous Time
Hanqing Jin, Xunyu Zhou
q-fin.PMmath.OCmath.PRarXiv:0709.2830v12007
Massive parallelization of serial inference algorithms for a complex generalized linear model
Marc A. Suchard, Shawn E. Simpson, Ivan Zorych +2
stat.COmath.OCarXiv:1208.0945v12012
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Steven Diamond, Stephen Boyd
math.OCarXiv:1603.00943v22016
Hessian Schatten-Norm Regularization for Linear Inverse Problems
Stamatios Lefkimmiatis, John Paul Ward, Michael Unser
math.OCcs.CVmath.NAarXiv:1209.3318v32012
Exact information accounting for SGD methods
Akshay Balsubramani
cs.LGcs.ITmath.ITarXiv:2610.00446v12026
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
eess.SYcs.LGmath.OCarXiv:1701.03974v22017
General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming
Jaehyun Park, Stephen Boyd
math.OCarXiv:1703.07870v22017
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
On the low-rank approach for semidefinite programs arising in synchronization and community detection
Afonso S. Bandeira, Nicolas Boumal, Vladislav Voroninski
math.OCarXiv:1602.04426v22016
An Overview of Recent Progress in the Study of Distributed Multi-agent Coordination
Yongcan Cao, Wenwu Yu, Wei Ren +1
math.OCarXiv:1207.3231v22012
A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)
Tobias Englert, Andreas Völz, Felix Mesmer +2
math.OCarXiv:1805.01633v42018
Why Customer Choice Models Matter
Berry Gerrits, Fabian Akkerman
cs.GTmath.OCarXiv:2609.10557v12026
Phase Recovery, MaxCut and Complex Semidefinite Programming
Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat
math.OCarXiv:1206.0102v32012
Resource-Adaptive Primal-Dual Learning for One-Warehouse Multi-Store Systems with Censored Demand
Jiameng Lyu
cs.LGmath.OCarXiv:2608.14096v12026
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
Theodore Papalexopoulos, Christian Tjandraatmadja, Ross Anderson +2
math.OCarXiv:2110.09569v32021
Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints
Xiuxian Li, Xinlei Yi, Lihua Xie
math.OCarXiv:1805.05573v32018
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021
Global Convergence of Block Coordinate Descent in Deep Learning
Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin +1
math.OCcs.LGstat.MLarXiv:1803.00225v42018
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
stat.MLcs.LGmath.OCarXiv:1602.02355v62016
Splitting Methods for Convex Clustering
Eric C. Chi, Kenneth Lange
stat.MLmath.NAmath.OCarXiv:1304.0499v22013
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos +3
cs.LGmath.OCarXiv:2502.07529v22025
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
Simon S. Du, Wei Hu
math.OCcs.LGstat.MLarXiv:1802.01504v22018
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
Han Shen, Zhuoran Yang, Tianyi Chen
cs.LGmath.OCstat.MLarXiv:2402.06886v32024
Infinite Horizon Mean-Field Terminal Value Problem
Uğur Aydın, Tamer Başar, Naci Saldi
math.OCcs.SYeess.SYarXiv:2609.12768v12026
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar, Michael I. Jordan, S. Shankar Sastry
cs.LGmath.OCstat.MLarXiv:1901.00838v22019
Consensus optimization on manifolds
Alain Sarlette, Rodolphe Sepulchre
math.OCmath.DGarXiv:0811.4275v12008
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
Stochastic Block BFGS: Squeezing More Curvature out of Data
Robert M. Gower, Donald Goldfarb, Peter Richtárik
math.OCarXiv:1603.09649v12016
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis Bach, Simon Lacoste-Julien, Guillaume Obozinski
cs.LGmath.OCstat.MLarXiv:1203.4523v22012
Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study
Peng Xu, Farbod Roosta-Khorasani, Michael W. Mahoney
math.OCcs.LGmath.NAarXiv:1708.07827v22017
On the Critical Coupling for Kuramoto Oscillators
Florian Dorfler, Francesco Bullo
math.DSeess.SYmath-pharXiv:1011.3878v22010
The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives
Ruijie Li, Kang Chen, Tianyu Wang
math.OCcs.LGstat.MLarXiv:2609.08537v12026
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz, Horia Mania, Stephen Tu +2
cs.LGmath.OCstat.MLarXiv:1802.08334v42018
Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity
Zavier Li
cs.LGmath.OCarXiv:2609.12991v12026
Summaries:한국어
Robust Trajectory and Transmit Power Design for Secure UAV Communications
Miao Cui, Guangchi Zhang, Qingqing Wu +1
cs.ITmath.DSmath.OCarXiv:1806.06396v12018
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

Optimization and Control

Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification

Spectral Koopman-Hopf Formula for Reachability with Adversary

Training-free Diffusion Model Alignment with Sampling Demons

A consensus-based global optimization method for high dimensional machine learning problems

Energy-Efficient Power Control: A Look at 5G Wireless Technologies

Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent

When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming

Bayesian Optimization of Combinatorial Structures

OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control

Planning to Learn

Deep Reinforcement Learning for Multi-objective Optimization

Model-based Pricing for Machine Learning in a Data Marketplace

Simultaneously Structured Models with Application to Sparse and Low-rank Matrices

Differentially Private Filtering

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

ABrA-GD: Adaptive Bregman Accelerated Gradient Descent for Relatively Smooth and (Strongly-)Convex Optimization

Online dynamic mode decomposition for time-varying systems

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

Synchronization in Complex Oscillator Networks and Smart Grids

Swarm Intelligence Based Algorithms: A Critical Analysis

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

On the insufficiency of existing momentum schemes for Stochastic Optimization

Joint Optimization of Hybrid Energy Storage and Generation Capacity with Renewable Energy

Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium

Behavioral Portfolio Selection in Continuous Time

Massive parallelization of serial inference algorithms for a complex generalized linear model

CVXPY: A Python-Embedded Modeling Language for Convex Optimization

Hessian Schatten-Norm Regularization for Linear Inverse Problems

Exact information accounting for SGD methods

An Online Convex Optimization Approach to Dynamic Network Resource Allocation

General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming

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

On the low-rank approach for semidefinite programs arising in synchronization and community detection

An Overview of Recent Progress in the Study of Distributed Multi-agent Coordination

A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)

Why Customer Choice Models Matter

Phase Recovery, MaxCut and Complex Semidefinite Programming

Resource-Adaptive Primal-Dual Learning for One-Warehouse Multi-Store Systems with Censored Demand

Constrained Discrete Black-Box Optimization using Mixed-Integer Programming

Distributed Online Optimization for Multi-Agent Networks with Coupled Inequality Constraints

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Global Convergence of Block Coordinate Descent in Deep Learning

Hyperparameter optimization with approximate gradient

Splitting Methods for Convex Clustering

Training Deep Learning Models with Norm-Constrained LMOs

Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

Infinite Horizon Mean-Field Terminal Value Problem

On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games

Consensus optimization on manifolds

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

Stochastic Block BFGS: Squeezing More Curvature out of Data

On the Equivalence between Herding and Conditional Gradient Algorithms

Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study

On the Critical Coupling for Kuramoto Oscillators

The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives

Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity

Robust Trajectory and Transmit Power Design for Secure UAV Communications

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