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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1,861 to 1,920 of 2,616

SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1608.03983v52016
A Passivity-Based Approach to Nash Equilibrium Seeking over Networks
Dian Gadjov, Lacra Pavel
math.OCarXiv:1705.02424v12017
Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani, Yair Carmon, John C. Duchi +3
math.OCcs.ITcs.LGarXiv:1912.02365v22019
Breaking the Curse of Dimensionality with Convex Neural Networks
Francis Bach
cs.LGmath.OCmath.STarXiv:1412.8690v22014
Discontinuities and hysteresis in quantized average consensus
Francesca Ceragioli, Claudio De Persis, Paolo Frasca
math.OCeess.SYarXiv:1001.2620v42010
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
Randomized Transport Maps for Model-Free Policy-Gradient Mean-Field Control
Adonis Jamal, Samy Mekkaoui, Yadh Hafsi +1
math.OCcs.LGarXiv:2610.11619v12026
Tight Lower Bounds on the Sizes of Symmetric Extensions of Permutahedra and Similar Results
Kanstantsin Pashkovich
math.COmath.OCarXiv:0912.3446v32009
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Ohad Shamir
cs.LGmath.NAmath.OCarXiv:1409.2848v52014
Periodic Event-Triggered Synchronization of Linear Multi-agent Systems with Communication Delays
Eloy Garcia, Yongcan Cao, David W. Casbeer
math.OCarXiv:1504.03582v12015
Constrained Differential Dynamic Programming Revisited
Yuichiro Aoyama, George Boutselis, Akash Patel +1
math.OCarXiv:2005.00985v12020
Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)
Taeyoung Lee, Melvin Leok, N. Harris McClamroch
math.OCcs.SYeess.SYarXiv:1003.2005v42010
Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework
Madhu Gupta, Anwesa Dey, Prapti Tala +1
math.OCcs.LGarXiv:2610.01015v12026
Near-Optimal Quantum Lower Bounds for Convex Optimization via Fourier Rank
Brandon Augustino, Shouvanik Chakrabarti, Enrico Fontana +4
quant-phcs.DSmath.OCarXiv:2609.09035v22026
A Smoothed Dual Approach for Variational Wasserstein Problems
Marco Cuturi, Gabriel Peyré
stat.MLmath.OCarXiv:1503.02533v22015
A Mean-Field Optimal Control Formulation of Deep Learning
Weinan E, Jiequn Han, Qianxiao Li
math.OCcs.LGarXiv:1807.01083v12018
Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design
Xiaoxia Xu, Xidong Mu, Zhaolin Wang +2
eess.SPeess.SYmath.OCarXiv:2505.00218v22025
Adaptive Robust Optimization with Dynamic Uncertainty Sets for Multi-Period Economic Dispatch under Significant Wind
Alvaro Lorca, Andy Sun
math.OCarXiv:1409.2936v22014
Accelerated Distributed Nesterov Gradient Descent
Guannan Qu, Na Li
math.OCarXiv:1705.07176v42017
Optimal Demand Response with Energy Storage Management
Longbo Huang, Jean Walrand, Kannan Ramchandran
math.OCarXiv:1205.4297v12012
Why Random Reshuffling Beats Stochastic Gradient Descent
Mert Gürbüzbalaban, Asuman Ozdaglar, Pablo Parrilo
math.OCarXiv:1510.08560v42015
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
Yuan Cao, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1902.01384v42019
Nechvile-Transformed Spacecraft Dynamics and Propellant Computation in the 3-Body Problem
Michael J. Dixon, Isaac M. Ross
math.OCeess.SYmath.NAarXiv:2608.29271v12026
A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
math.OCarXiv:1209.2385v12012
A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics
Weinan E, Chao Ma, Lei Wu
cs.LGmath.OCstat.MLarXiv:1904.04326v22019
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu, Wei Shi, Jinming Xu +1
math.OCcs.DCcs.MAarXiv:1810.06653v42018
Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)
Farhad Goodarzi, Daewon Lee, Taeyoung Lee
math.OCarXiv:1304.6765v12013
New directional bat algorithm for continuous optimization problems
Asma Chakri, Rabia Khelif, Mohamed Benouaret +1
cs.NEmath.OCarXiv:1805.05854v12018
Generalized Forward-Backward Splitting
Hugo Raguet, Jalal Fadili, Gabriel Peyré
math.OCarXiv:1108.4404v32011
The positive semidefinite Grothendieck problem with rank constraint
Jop Briet, Fernando Mario de Oliveira Filho, Frank Vallentin
math.OCcs.DSmath.COarXiv:0910.5765v32009
Faster Linear Programming with $\sqrt{\mathrm{rank}}$ Linear System Solves
Zhao Song
math.OCcs.DSarXiv:2609.30853v12026
Gradient descent aligns the layers of deep linear networks
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1810.02032v22018
Data-driven control via Petersen's lemma
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
eess.SYmath.DSmath.OCarXiv:2109.12175v12021
Near-Field Physical-Layer Authentication Under Impersonation Attacks
Hajar El Hassani, Linda Senigagliesi, Arsenia Chorti
cs.ITmath.OCarXiv:2609.04879v12026
Reinforcement Learning for Integer Programming: Learning to Cut
Yunhao Tang, Shipra Agrawal, Yuri Faenza
cs.LGmath.OCstat.MLarXiv:1906.04859v32019
An Exact Quantized Decentralized Gradient Descent Algorithm
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +1
cs.LGcs.DCmath.OCarXiv:1806.11536v32018
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour, Ali Jadbabaie
math.OCcs.DCcs.LGarXiv:1609.02845v12016
Enhancing Interpretability of Stochastic Programming Solutions: A Multiparametric Approach
Parth Brahmbhatt, Styliani Avraamidou
math.OCeess.SYarXiv:2608.30137v12026
Input Convex Neural Networks
Brandon Amos, Lei Xu, J. Zico Kolter
cs.LGmath.OCarXiv:1609.07152v32016
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs
Gesualdo Scutari, Ying Sun
math.OCcs.DCcs.MAarXiv:1809.01106v12018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
cs.LGcs.DCmath.OCarXiv:1709.03528v52017
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
Limit theory for controlled McKean-Vlasov dynamics
Daniel Lacker
math.PRmath.OCarXiv:1609.08064v12016
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai, Bamdev Mishra
cs.LGcs.NAmath.NAarXiv:1605.08257v12016
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
Thomas Pock, Shoham Sabach
math.OCarXiv:1702.02505v12017
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi +2
cs.LGeess.SPmath.OCarXiv:2006.03041v32020
Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization
Nicole Gehring
math.OCeess.SYarXiv:2608.29693v12026
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
Gang Wang, Georgios B. Giannakis, Jie Chen
stat.MLcs.ITcs.LGarXiv:1808.04685v22018
Flower Pollination Algorithm for Global Optimization
Xin-She Yang
math.OCcs.NEnlin.AOarXiv:1312.5673v12013
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Peng Zheng, Ryan Barber, Reed J. D. Sorensen +2
stat.MEmath.OCstat.MLarXiv:1909.10700v22019
Practical Quasi-Newton Methods for Training Deep Neural Networks
Donald Goldfarb, Yi Ren, Achraf Bahamou
cs.LGmath.OCstat.MLarXiv:2006.08877v32020
AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization
Omar El Housni, Marouane Ibn Brahim
cs.AIecon.GNmath.OCarXiv:2610.12917v12026
Advances in Trajectory Optimization for Space Vehicle Control
Danylo Malyuta, Yue Yu, Purnanand Elango +1
math.OCcs.LGeess.SYarXiv:2108.02335v22021
Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
Fu Lin, Makan Fardad, Mihailo R. Jovanović
math.OCeess.SYarXiv:1111.6188v32011
Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies
Nick Arnosti, Rad Niazadeh, Pranav Nuti +1
cs.DScs.CCcs.GTarXiv:2610.12991v12026
Centralized and distributed online learning for sparse time-varying optimization
Sophie M. Fosson
math.OCcs.LGarXiv:2001.11939v12020
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets
Steven W. Chen, Tianyu Wang, Nikolay Atanasov +2
cs.LGcs.SYeess.SYarXiv:1910.10835v22019
A unifying energy-based approach to stability of power grids with market dynamics
Tjerk Stegink, Claudio De Persis, Arjan van der Schaft
math.OCeess.SYarXiv:1604.05200v22016
On the differential of the exponential map
Debanjan Mallik
eess.SYmath.OCarXiv:2609.04762v12026
The 11/6 supremum of the Wang-Sitters rounding scheme for graph balancing
Adam Y. Shavit
cs.DSmath.OCarXiv:2609.03890v12026

Optimization and Control

SGDR: Stochastic Gradient Descent with Warm Restarts

A Passivity-Based Approach to Nash Equilibrium Seeking over Networks

Lower Bounds for Non-Convex Stochastic Optimization

Breaking the Curse of Dimensionality with Convex Neural Networks

Discontinuities and hysteresis in quantized average consensus

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Randomized Transport Maps for Model-Free Policy-Gradient Mean-Field Control

Tight Lower Bounds on the Sizes of Symmetric Extensions of Permutahedra and Similar Results

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate

Periodic Event-Triggered Synchronization of Linear Multi-agent Systems with Communication Delays

Constrained Differential Dynamic Programming Revisited

Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)

Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework

Near-Optimal Quantum Lower Bounds for Convex Optimization via Fourier Rank

A Smoothed Dual Approach for Variational Wasserstein Problems

A Mean-Field Optimal Control Formulation of Deep Learning

Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design

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

Accelerated Distributed Nesterov Gradient Descent

Optimal Demand Response with Energy Storage Management

Why Random Reshuffling Beats Stochastic Gradient Descent

Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks

Nechvile-Transformed Spacecraft Dynamics and Propellant Computation in the 3-Body Problem

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics

Push-Pull Gradient Methods for Distributed Optimization in Networks

Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)

New directional bat algorithm for continuous optimization problems

Generalized Forward-Backward Splitting

The positive semidefinite Grothendieck problem with rank constraint

Faster Linear Programming with $\sqrt{\mathrm{rank}}$ Linear System Solves

Gradient descent aligns the layers of deep linear networks

Data-driven control via Petersen's lemma

Near-Field Physical-Layer Authentication Under Impersonation Attacks

Reinforcement Learning for Integer Programming: Learning to Cut

An Exact Quantized Decentralized Gradient Descent Algorithm

Distributed Online Optimization in Dynamic Environments Using Mirror Descent

Enhancing Interpretability of Stochastic Programming Solutions: A Multiparametric Approach

Input Convex Neural Networks

Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

Limit theory for controlled McKean-Vlasov dynamics

Low-rank tensor completion: a Riemannian manifold preconditioning approach

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

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Flower Pollination Algorithm for Global Optimization

Trimmed Constrained Mixed Effects Models: Formulations and Algorithms

Practical Quasi-Newton Methods for Training Deep Neural Networks

AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization

Advances in Trajectory Optimization for Space Vehicle Control

Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers

Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies

Centralized and distributed online learning for sparse time-varying optimization

Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

A unifying energy-based approach to stability of power grids with market dynamics

On the differential of the exponential map

The 11/6 supremum of the Wang-Sitters rounding scheme for graph balancing