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 to 60 of 1,591

Linear attention is (maybe) all you need (to understand transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song +3
cs.LGcs.AImath.OCarXiv:2310.01082v22023
A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification
Kehan Long, Yiqi Zhao, Pol Mestres +3
math.OCcs.LGeess.SYarXiv:2608.29789v12026
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
eess.SYcs.LGmath.OCarXiv:2608.25095v12026
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
Guangchun Ruan, Dongqi Wu, Xiangtian Zheng +5
cs.CYeess.SYmath.OCarXiv:2005.06631v72020
Differentially Private Filtering
Jerome Le Ny, George J. Pappas
math.OCcs.CRarXiv:1207.4305v22012
Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control?
Michel Fliess, Cédric Join
math.OCmath.CAmath.NAarXiv:0904.0322v12009
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
Soham De, Anirbit Mukherjee, Enayat Ullah
cs.LGmath.OCstat.MLarXiv:1807.06766v32018
Enhancing finite-difference based derivative-free optimization methods with machine learning
Timothé Taminiau, Estelle Massart, Geovani Nunes Grapiglia
math.OCarXiv:2502.07435v12025
PrecPack: An Efficient Open-Source Exact Solver for Bin Packing with Generalized Precedence Constraints
Sunkanghong Wang, Zhengzhong Ricky You, Roberto Baldacci +4
cs.DSmath.COmath.OCarXiv:2609.17368v12026
Sparsity-Exploiting Moment-Based Relaxations of the Optimal Power Flow Problem
Daniel K. Molzahn, Ian A. Hiskens
math.OCarXiv:1404.5071v22014
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
Blake Woodworth, Jialei Wang, Adam Smith +2
math.OCcs.LGstat.MLarXiv:1805.10222v32018
Disturbance rejection for classes of nonlinear systems
Saverio Messineo
math.OCeess.SYarXiv:2609.10553v12026
Optimization over covariance matrices with a parameterized metric
Yibang Li, Bamdev Mishra, Pratik Jawanpuria +1
math.OCcs.LGarXiv:2609.17089v12026
Optimal Covariance Control for Stochastic Systems Under Chance Constraints
Kazuhide Okamoto, Maxim Goldshtein, Panagiotis Tsiotras
math.OCarXiv:1804.02829v12018
Peer-to-Peer Electricity Market Analysis: From Variational to Generalized Nash Equilibrium
Hélène Le Cadre, Paulin Jacquot, Cheng Wan +1
math.OCcs.GTarXiv:1812.02301v12018
Constructing Pareto Sets Using Noether's Second Theorem
Evgeny Nikulchev
math.OCeess.SYarXiv:2609.10555v12026
Solving Large-Scale Sparse Linear Complementarity Problems Using a Relaxed Shifted Matrix-Splitting Modulus-Based Iteration Method
Abhishek Kumar Singh Sengar, Bharat Kumar, Deepmala
math.OCmath.NAarXiv:2609.11949v22026
Climate-model factor separation with Shapley values and efficient sampling
Abel Jansma
math.OCcs.GTphysics.ao-pharXiv:2609.11948v12026
Why Customer Choice Models Matter
Berry Gerrits, Fabian Akkerman
cs.GTmath.OCarXiv:2609.10557v12026
Intervention problems in the Linear Threshold Model: A general formulation and new results
Giacomo Como, Fabio Fagnani, Stephane Durand
math.OCcs.GTcs.MAarXiv:2609.17146v12026
Direct and Indirect Couplings in Coherent Feedback Control of Linear Quantum Systems
Guofeng Zhang, Matthew R. James
quant-pheess.SYmath.OCarXiv:1010.4369v22010
SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning
Zebin Chen, Fei Xing, Yang Chen +4
cs.LGcs.AImath.OCarXiv:2609.12599v12026
Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching
Boldsaikhan Bolorkhuu, Tsogtgerel Gantumur
math.OCcs.LGarXiv:2609.11962v12026
Optimal Control for Cancer Chemotherapy Using Hybrid Quantum Particle Swarm Optimization
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
math.OCeess.SYarXiv:2609.11197v12026
Beyond Phase Reduction: Amplitude Collapse in Optimal Control of Coupled Oscillators
Faranak Rajabi, Frédéric Gibou, Jeff Moehlis
math.OCeess.SYmath.NAarXiv:2609.16449v12026
Shortest Paths in Graphs of Convex Sets
Tobia Marcucci, Jack Umenberger, Pablo A. Parrilo +1
cs.DMmath.OCarXiv:2101.11565v52021
Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity
Zavier Li
cs.LGmath.OCarXiv:2609.12991v12026
Summaries:한국어
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
César A. Uribe, Soomin Lee, Alexander Gasnikov +1
math.OCcs.DCcs.MAarXiv:1809.00710v32018
Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms
Aram Harrow, John Napp
quant-phmath.OCarXiv:1901.05374v12019
A fully globalized solver for discretized inverse elliptic coefficient problems with exact data
Bastian Harrach
math.NAmath.OCarXiv:2609.03631v12026
Distributed Model Predictive Control for Heterogeneous Vehicle Platoons under Unidirectional Topologies
Yang Zheng, Shengbo Eben Li, Keqiang Li +2
math.OCarXiv:1603.03225v22016
Control Principles of Complex Networks
Yang-Yu Liu, Albert-Laszló Barabási
eess.SYmath.OCphysics.soc-pharXiv:1508.05384v22015
Network Lasso: Clustering and Optimization in Large Graphs
David Hallac, Jure Leskovec, Stephen Boyd
cs.SImath.OCstat.AParXiv:1507.00280v12015
Multiple Pursuer Multiple Evader Differential Games
Eloy Garcia, David W. Casbeer, Alexander Von Moll +1
math.OCarXiv:1911.03806v12019
Finite-time Consensus for Multi-agent Networks with Unknown Inherent Nonlinear Dynamics
Yongcan Cao, Wei Ren
math.OCeess.SYarXiv:1302.4761v12013
Bat Algorithm: A Novel Approach for Global Engineering Optimization
Xin-She Yang, Amir H. Gandomi
math.OCarXiv:1211.6663v12012
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers
Mariana S. C. Almeida, Mário A. T. Figueiredo
math.OCcs.CVarXiv:1210.2687v22012
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization
Nicolas Gillis, Stephen A. Vavasis
stat.MLcs.LGmath.OCarXiv:1208.1237v32012
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar, Rene Vidal
cs.CVcs.IRcs.ITarXiv:1203.1005v32012
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game
Yang Li, Bin Wang, Zhen Yang +2
eess.SYmath.OCarXiv:2112.07103v12021
Distributed strategies for generating weight-balanced and doubly stochastic digraphs
Bahman Gharesifard, Jorge Cortes
math.OCeess.SYarXiv:0911.0232v62009
Average-Cost Markov Decision Processes with Weakly Continuous Transition Probabilities
Eugene A. Feinberg, Pavlo O. Kasyanov, Nina V. Zadoianchuk
math.OCarXiv:1202.4122v12012
Distributed Learning in Multi-Armed Bandit with Multiple Players
Keqin Liu, Qing Zhao
math.OCcs.LGmath.PRarXiv:0910.2065v32009
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
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes
Aaron Sidford, Mengdi Wang, Xian Wu +1
cs.DScs.LGmath.OCarXiv:1710.09988v32017
Muon Outperforms Adam in Tail-End Associative Memory Learning
Shuche Wang, Fengzhuo Zhang, Jiaxiang Li +6
cs.LGcs.AImath.OCarXiv:2509.26030v22025
Stochastic Methods for Composite and Weakly Convex Optimization Problems
John Duchi, Feng Ruan
math.OCmath.STarXiv:1703.08570v32017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
cs.LGcs.DCmath.OCarXiv:1709.03528v52017
Beyond Verified Answers: Solver-Informed Self-Distillation for Bootstrapping Operations Research Language Models
Rui Zhu, Minglong Cao, Chenyu Zhou +2
math.OCcs.AIarXiv:2609.09957v12026
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis
cs.LGmath.OCstat.MLarXiv:2003.00360v22020
Observability of Boolean control networks: A unified approach based on the theories of finite automata
Kuize Zhang, Lijun Zhang
math.OCarXiv:1405.6780v22014
Control Design along Trajectories with Sums of Squares Programming
Anirudha Majumdar, Amir Ali Ahmadi, Russ Tedrake
cs.ROeess.SYmath.OCarXiv:1210.0888v12012
Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proof
Ran Xin, Chenguang Xi, Usman A. Khan
math.OCarXiv:1706.07707v12017
Time consistent portfolio management
Ivar Ekeland, Oumar Mbodji, Traian A. Pirvu
math.OCarXiv:1008.3407v22010
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization
Necdet Serhat Aybat, Zi Wang, Tianyi Lin +1
math.OCarXiv:1512.08122v42015
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang, Shiqi Wang, Kaidi Xu +5
cs.LGcs.CRcs.CVarXiv:2208.05740v22022
Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty
Deniz Akkaya, Emre Can Yayla, Buse Şen +1
math.OCcs.LGstat.MLarXiv:2609.11749v12026
Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization
Longbo Huang, Michael J. Neely
math.OCarXiv:0904.3795v12009
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
stat.MLcs.LGmath.OCarXiv:1505.03410v32015
Supply Chain Analytics: A Data-Driven Approach
Elioth Sanabria
math.OCcs.LGstat.MLarXiv:2609.10563v12026
Summaries:한국어

Optimization and Control

Linear attention is (maybe) all you need (to understand transformer optimization)

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

Differentially Private Filtering

Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control?

Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration

Enhancing finite-difference based derivative-free optimization methods with machine learning

PrecPack: An Efficient Open-Source Exact Solver for Bin Packing with Generalized Precedence Constraints

Sparsity-Exploiting Moment-Based Relaxations of the Optimal Power Flow Problem

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Disturbance rejection for classes of nonlinear systems

Optimization over covariance matrices with a parameterized metric

Optimal Covariance Control for Stochastic Systems Under Chance Constraints

Peer-to-Peer Electricity Market Analysis: From Variational to Generalized Nash Equilibrium

Constructing Pareto Sets Using Noether's Second Theorem

Solving Large-Scale Sparse Linear Complementarity Problems Using a Relaxed Shifted Matrix-Splitting Modulus-Based Iteration Method

Climate-model factor separation with Shapley values and efficient sampling

Why Customer Choice Models Matter

Intervention problems in the Linear Threshold Model: A general formulation and new results

Direct and Indirect Couplings in Coherent Feedback Control of Linear Quantum Systems

SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning

Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching

Optimal Control for Cancer Chemotherapy Using Hybrid Quantum Particle Swarm Optimization

Beyond Phase Reduction: Amplitude Collapse in Optimal Control of Coupled Oscillators

Shortest Paths in Graphs of Convex Sets

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

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms

A fully globalized solver for discretized inverse elliptic coefficient problems with exact data

Distributed Model Predictive Control for Heterogeneous Vehicle Platoons under Unidirectional Topologies

Control Principles of Complex Networks

Network Lasso: Clustering and Optimization in Large Graphs

Multiple Pursuer Multiple Evader Differential Games

Finite-time Consensus for Multi-agent Networks with Unknown Inherent Nonlinear Dynamics

Bat Algorithm: A Novel Approach for Global Engineering Optimization

Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers

Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization

Sparse Subspace Clustering: Algorithm, Theory, and Applications

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game

Distributed strategies for generating weight-balanced and doubly stochastic digraphs

Average-Cost Markov Decision Processes with Weakly Continuous Transition Probabilities

Distributed Learning in Multi-Armed Bandit with Multiple Players

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

Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes

Muon Outperforms Adam in Tail-End Associative Memory Learning

Stochastic Methods for Composite and Weakly Convex Optimization Problems

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

Beyond Verified Answers: Solver-Informed Self-Distillation for Bootstrapping Operations Research Language Models

Decision Trees for Decision-Making under the Predict-then-Optimize Framework

Observability of Boolean control networks: A unified approach based on the theories of finite automata

Control Design along Trajectories with Sums of Squares Programming

Distributed Subgradient Projection Algorithm over Directed Graphs: Alternate Proof

Time consistent portfolio management

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty

Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization

Mind the duality gap: safer rules for the Lasso

Supply Chain Analytics: A Data-Driven Approach