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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841 to 900 of 1,592

Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon S. Du, Sham M. Kakade, Jason D. Lee +4
cs.LGcs.AImath.OCarXiv:2103.10897v32021
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Hussein Hazimeh, Rahul Mazumder
stat.COmath.OCstat.MLarXiv:1803.01454v32018
Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems
Rushikesh Kamalapurkar, Huyen Dinh, Shubhendu Bhasin +1
eess.SYmath.OCarXiv:1301.7664v22013
Convergent relaxations of polynomial optimization problems with non-commuting variables
Stefano Pironio, Miguel Navascues, Antonio Acin
math.OCquant-pharXiv:0903.4368v22009
A Mean-Field Optimal Control Formulation of Deep Learning
Weinan E, Jiequn Han, Qianxiao Li
math.OCcs.LGarXiv:1807.01083v12018
Convergence of type-symmetric and cut-balanced consensus seeking systems (extended version)
Julien M. Hendrickx, John N. Tsitsiklis
eess.SYcs.MAmath.OCarXiv:1102.2361v22011
Reciprocal-Manifold Annealed KKT Flows for Constrained Optimization: Application to the Nonconvex AC Optimal Power Flow
M Parimi, Aditi Ramteke, Rachit Mehra +2
math.OCeess.SYarXiv:2608.29628v12026
Convergence Rate of Distributed ADMM over Networks
Ali Makhdoumi, Asuman Ozdaglar
math.OCarXiv:1601.00194v12016
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine
Laurent Jacques, David K. Hammond, M. Jalal Fadili
math.OCcs.ITarXiv:0902.2367v42009
Gradient Descent Converges to Minimizers
Jason D. Lee, Max Simchowitz, Michael I. Jordan +1
stat.MLcs.LGmath.OCarXiv:1602.04915v22016
Continuous-time average-preserving opinion dynamics with opinion-dependent communications
Vincent D. Blondel, Julien M. Hendrickx, John N. Tsitsiklis
math.OCmath.DSarXiv:0907.4662v12009
Optimal High Frequency Trading with limit and market orders
Fabien Guilbaud, Huyen Pham
q-fin.TReess.SYmath.OCarXiv:1106.5040v12011
Online Learning of Rested and Restless Bandits
Cem Tekin, Mingyan Liu
math.OCcs.LGarXiv:1102.3508v12011
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Andre Wibisono
math.OCcs.ITcs.LGarXiv:1802.08089v22018
Data-Driven Estimation in Equilibrium Using Inverse Optimization
Dimitris Bertsimas, Vishal Gupta, Ioannis Ch. Paschalidis
math.OCarXiv:1308.3397v22013
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
Mingyi Hong, Hoi-To Wai, Zhaoran Wang +1
math.OCcs.LGarXiv:2007.05170v42020
Proof of a Conjecture of De Cock and De Moor
Jeffrey Humpherys
math.OCeess.SYarXiv:2608.29479v12026
Efficient Algorithms for Renewable Energy Allocation to Delay Tolerant Consumers
Michael J. Neely, Arash Saber Tehrani, Alexandros G. Dimakis
math.OCarXiv:1006.4649v12010
Decentralized Signal Control for Urban Road Networks
Tung Le, Peter Kovacs, Neil Walton +3
math.OCarXiv:1310.0491v22013
Comment on "Event-Triggered Stabilization of Linear Time-Delay Systems via Halanay-Type Inequality"
Luke Jonker, Kexue Zhang
math.OCeess.SYarXiv:2608.30885v12026
Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls
Grani A. Hanasusanto, Daniel Kuhn
math.OCarXiv:1609.07505v32016
Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
Jie Lu, Choon Yik Tang
eess.SYcs.DCmath.OCarXiv:1104.5422v32011
Directional convergence and alignment in deep learning
Ziwei Ji, Matus Telgarsky
cs.LGcs.NEmath.OCarXiv:2006.06657v22020
Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway
Yukai Gong, Ross Hartley, Xingye Da +4
cs.ROmath.OCarXiv:1809.07279v12018
ε-Nash Mean Field Game Theory for Nonlinear Stochastic Dynamical Systems with Major and Minor Agents
Mojtaba Nourian, Peter E. Caines
math.OCarXiv:1209.5684v32012
Training robust neural networks using Lipschitz bounds
Patricia Pauli, Anne Koch, Julian Berberich +2
cs.LGeess.SYmath.OCarXiv:2005.02929v22020
On the reachability and observability of path and cycle graphs
Gianfranco Parlangeli, Giuseppe Notarstefano
math.OCeess.SYarXiv:1109.3556v12011
Bregman Alternating Direction Method of Multipliers
Huahua Wang, Arindam Banerjee
math.OCcs.LGstat.MLarXiv:1306.3203v32013
Dynamic Control and Optimization of Distributed Energy Resources in a Microgrid
Trudie Wang, Dan O'Neill, Haresh Kamath
math.OCarXiv:1410.0054v12014
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
Gili Rosenberg, Poya Haghnegahdar, Phil Goddard +3
q-fin.CPcs.DSmath.OCarXiv:1508.06182v32015
Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities
Suchithra Rajendran, Sharan Srinivas
cs.CYmath.OCarXiv:2103.01768v12021
Global Deterministic Optimization with Artificial Neural Networks Embedded
Artur M Schweidtmann, Alexander Mitsos
math.OCarXiv:1801.07114v22018
Finite Sample Identification of Analytic Nonlinear Systems
Negin Musavi, Ziyao Guo, Geir E. Dullerud +1
eess.SYmath.OCarXiv:2608.29908v12026
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
Mert Pilanci, Martin J. Wainwright
math.OCcs.ITcs.LGarXiv:1411.0347v12014
Flows and Decompositions of Games: Harmonic and Potential Games
Ozan Candogan, Ishai Menache, Asuman Ozdaglar +1
cs.GTmath.OCarXiv:1005.2405v22010
Quiver Semistability and Structured Kalman Decompositions for Networked Linear Dynamical Systems
Kazuo Murota, Tasuku Soma
math.OCeess.SYmath.RTarXiv:2608.29871v12026
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
math.OCcs.LGeess.SYarXiv:1906.08383v32019
Consensus-ADMM for General Quadratically Constrained Quadratic Programming
Kejun Huang, Nicholas D. Sidiropoulos
math.OCarXiv:1601.02335v22016
Koopman operator-based model reduction for switched-system control of PDEs
Sebastian Peitz, Stefan Klus
math.DSmath.OCarXiv:1710.06759v22017
Convergence and Equivalence results for the Jensen's inequality - Application to time-delay and sampled-data systems
Corentin Briat
eess.SYmath.DSmath.OCarXiv:1204.1069v12012
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Matthias Hein, Thomas Bühler
cs.LGmath.OCstat.MLarXiv:1012.0774v12010
Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning
Weinan E, Jiequn Han, Arnulf Jentzen
math.NAmath.OCarXiv:2008.13333v22020
Joint Optimization of Hybrid Energy Storage and Generation Capacity with Renewable Energy
Peng Yang, Arye Nehorai
math.OCarXiv:1309.5832v12013
From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
cs.AImath.OCarXiv:2608.30419v12026
Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion
Runyu Zhang, Jiawei Zhang, Gioele Zardini +2
cs.LGcs.AImath.OCarXiv:2608.29507v12026
Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure
Martina Vanelli, Nima Monshizadeh, Julien M. Hendrickx
math.OCeess.SYarXiv:2608.31092v12026
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han, Weinan E
cs.LGcs.AIcs.NEarXiv:1611.07422v12016
Efficient primal--dual splitting methods for a Poisson-constrained JKO scheme for Poisson-Nernst-Planck models
Wei Wu, Jin Zeng, Zhen Zhang +1
math.NAmath.OCphysics.comp-pharXiv:2608.30693v12026
On Nonconvex Decentralized Gradient Descent
Jinshan Zeng, Wotao Yin
math.OCcs.DCcs.MAarXiv:1608.05766v42016
Stochastic Variance Reduction Methods for Saddle-Point Problems
P Balamurugan, Francis Bach
cs.LGmath.OCarXiv:1605.06398v22016
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
Thomas Pock, Shoham Sabach
math.OCarXiv:1702.02505v12017
Input-to-state stability of infinite-dimensional control systems
Sergey Dashkovskiy, Andrii Mironchenko
math.OCmath.DSarXiv:1202.3325v22012
Platooning of Connected Vehicles with Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis
Yang Zheng, Shengbo Eben Li, Keqiang Li +1
math.OCarXiv:1611.01412v22016
Summaries:한국어
Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca +2
cs.LGmath.OCstat.MLarXiv:1908.06315v42019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas +1
cs.LGcs.DCmath.OCarXiv:1910.00643v22019
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1506.01900v22015
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
math.OCcs.LGmath.NAarXiv:1607.00345v12016
Stochastic Dynamic Pricing for EV Charging Stations with Renewables Integration and Energy Storage
Chao Luo, Yih-Fang Huang, Vijay Gupta
eess.SPecon.EMmath.OCarXiv:1801.02128v12018
New directional bat algorithm for continuous optimization problems
Asma Chakri, Rabia Khelif, Mohamed Benouaret +1
cs.NEmath.OCarXiv:1805.05854v12018
Scaled Null-Adjusted Persistence: A Multiscale Bridge between Modularity and Persistence
Alessandro Avellone, Paolo Bartesaghi, Stefano Benati +1
cs.SImath.OCarXiv:2608.30934v12026

Optimization and Control

Bilinear Classes: A Structural Framework for Provable Generalization in RL

Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems

Convergent relaxations of polynomial optimization problems with non-commuting variables

A Mean-Field Optimal Control Formulation of Deep Learning

Convergence of type-symmetric and cut-balanced consensus seeking systems (extended version)

Reciprocal-Manifold Annealed KKT Flows for Constrained Optimization: Application to the Nonconvex AC Optimal Power Flow

Convergence Rate of Distributed ADMM over Networks

Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine

Gradient Descent Converges to Minimizers

Continuous-time average-preserving opinion dynamics with opinion-dependent communications

Optimal High Frequency Trading with limit and market orders

Online Learning of Rested and Restless Bandits

Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem

Data-Driven Estimation in Equilibrium Using Inverse Optimization

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

Proof of a Conjecture of De Cock and De Moor

Efficient Algorithms for Renewable Energy Allocation to Delay Tolerant Consumers

Decentralized Signal Control for Urban Road Networks

Comment on "Event-Triggered Stabilization of Linear Time-Delay Systems via Halanay-Type Inequality"

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

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

Directional convergence and alignment in deep learning

Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway

ε-Nash Mean Field Game Theory for Nonlinear Stochastic Dynamical Systems with Major and Minor Agents

Training robust neural networks using Lipschitz bounds

On the reachability and observability of path and cycle graphs

Bregman Alternating Direction Method of Multipliers

Dynamic Control and Optimization of Distributed Energy Resources in a Microgrid

Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer

Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities

Global Deterministic Optimization with Artificial Neural Networks Embedded

Finite Sample Identification of Analytic Nonlinear Systems

Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares

Flows and Decompositions of Games: Harmonic and Potential Games

Quiver Semistability and Structured Kalman Decompositions for Networked Linear Dynamical Systems

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Consensus-ADMM for General Quadratically Constrained Quadratic Programming

Koopman operator-based model reduction for switched-system control of PDEs

Convergence and Equivalence results for the Jensen's inequality - Application to time-delay and sampled-data systems

An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA

Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning

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

From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling

Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion

Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure

Deep Learning Approximation for Stochastic Control Problems

Efficient primal--dual splitting methods for a Poisson-constrained JKO scheme for Poisson-Nernst-Planck models

On Nonconvex Decentralized Gradient Descent

Stochastic Variance Reduction Methods for Saddle-Point Problems

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

Input-to-state stability of infinite-dimensional control systems

Platooning of Connected Vehicles with Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis

Implicit Deep Learning

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Communication Complexity of Distributed Convex Learning and Optimization

Convergence Rate of Frank-Wolfe for Non-Convex Objectives

Stochastic Dynamic Pricing for EV Charging Stations with Renewables Integration and Energy Storage

New directional bat algorithm for continuous optimization problems

Scaled Null-Adjusted Persistence: A Multiscale Bridge between Modularity and Persistence