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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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1,201 to 1,260 of 1,592

  1. Control of Homodirectional and General Heterodirectional Linear Coupled Hyperbolic PDEs

    Long Hu, Florent Di Meglio, Rafael Vazquez +1

    math.OCarXiv:1504.07491v12015

  2. Differentially Private Average Consensus: Obstructions, Trade-Offs, and Optimal Algorithm Design

    Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés

    math.OCmath.DSarXiv:1512.09039v32015

  3. Strong SOCP Relaxations for the Optimal Power Flow Problem

    Burak Kocuk, Santanu S. Dey, X. Andy Sun

    math.OCarXiv:1504.06770v42015

  4. Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

    Heng Yang, Pasquale Antonante, Vasileios Tzoumas +1

    cs.CVcs.ROmath.OCarXiv:1909.08605v42019

  5. Distributed Algorithms for Aggregative Games on Graphs

    Jayash Koshal, Angelia Nedić, Uday V. Shanbhag

    math.OCarXiv:1605.00267v22016

  6. Exact Support Recovery for Sparse Spikes Deconvolution

    Vincent Duval, Gabriel Peyré

    math.OCcs.ITmath.NAarXiv:1306.6909v32013

  7. Secure and Privacy-Preserving Consensus

    Minghao Ruan, Huan Gao, Yongqiang Wang

    math.OCcs.CRarXiv:1707.04491v42017

  8. LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

    Tianyi Chen, Georgios B. Giannakis, Tao Sun +1

    stat.MLcs.DCcs.LGarXiv:1805.09965v22018

  9. Convex computation of the region of attraction of polynomial control systems

    Didier Henrion, Milan Korda

    math.OCarXiv:1208.1751v22012

  10. Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning

    Julien Mairal

    math.OCcs.LGstat.MLarXiv:1402.4419v32014

  11. Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application

    Weiran Wang, Miguel Á. Carreira-Perpiñán

    cs.LGmath.OCstat.MLarXiv:1309.1541v12013

  12. Model based learning for accelerated, limited-view 3D photoacoustic tomography

    Andreas Hauptmann, Felix Lucka, Marta Betcke +6

    cs.CVcs.NEmath.OCarXiv:1708.09832v32017

  13. A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale

    Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox

    cs.CEcs.AIcs.LGarXiv:2012.05841v32020

  14. Simple random search provides a competitive approach to reinforcement learning

    Horia Mania, Aurelia Guy, Benjamin Recht

    cs.LGcs.AImath.OCarXiv:1803.07055v12018

  15. Minimal Controllability Problems

    Alex Olshevsky

    math.OCeess.SYarXiv:1304.3071v72013

  16. Global convergence of the Heavy-ball method for convex optimization

    Euhanna Ghadimi, Hamid Reza Feyzmahdavian, Mikael Johansson

    math.OCarXiv:1412.7457v12014

  17. Optimization Techniques on Riemannian Manifolds

    Steven Thomas Smith

    math.OCcs.CGmath.DGarXiv:1407.5965v12014

  18. Distributed Convex Optimization for Continuous-Time Dynamics with Time-Varying Cost Function

    Salar Rahili, Wei Ren

    math.OCarXiv:1507.04878v22015

  19. Machine Learning in Aerodynamic Shape Optimization

    Jichao Li, Xiaosong Du, Joaquim R. R. A. Martins

    cs.LGmath.OCphysics.flu-dynarXiv:2202.07141v22022

  20. A General Analysis of the Convergence of ADMM

    Robert Nishihara, Laurent Lessard, Benjamin Recht +2

    math.OCmath.NAarXiv:1502.02009v32015

  21. Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks

    Pratik Chaudhari, Stefano Soatto

    cs.LGcond-mat.stat-mechmath.OCarXiv:1710.11029v22017

  22. Distributed Online Optimization in Dynamic Environments Using Mirror Descent

    Shahin Shahrampour, Ali Jadbabaie

    math.OCcs.DCcs.LGarXiv:1609.02845v12016

  23. On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

    Xiaoyu Li, Francesco Orabona

    stat.MLcs.LGmath.OCarXiv:1805.08114v32018

  24. Input-to-State Safety With Control Barrier Functions

    Shishir Kolathaya, Aaron D. Ames

    math.OCarXiv:1803.03035v32018

  25. Understanding the Acceleration Phenomenon via High-Resolution Differential Equations

    Bin Shi, Simon S. Du, Michael I. Jordan +1

    math.OCcs.LGmath.CAarXiv:1810.08907v32018

  26. First-order Methods for Geodesically Convex Optimization

    Hongyi Zhang, Suvrit Sra

    math.OCcs.LGstat.MLarXiv:1602.06053v12016

  27. Proximal Newton-type methods for minimizing composite functions

    Jason D. Lee, Yuekai Sun, Michael A. Saunders

    stat.MLcs.DScs.LGarXiv:1206.1623v132012

  28. Optimization Methods for Designing Sequences with Low Autocorrelation Sidelobes

    Junxiao Song, Prabhu Babu, Daniel P. Palomar

    math.OCcs.ITstat.MEarXiv:1501.02252v12014

  29. Towards moderate overparameterization: global convergence guarantees for training shallow neural networks

    Samet Oymak, Mahdi Soltanolkotabi

    cs.LGcs.ITmath.OCarXiv:1902.04674v12019

  30. Convex optimization

    Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov +1

    math.OCmath.NAarXiv:2106.01946v42021
    Summaries:한국어

  31. String stability and a delay-based spacing policy for vehicle platoons subject to disturbances

    Bart Besselink, Karl H. Johansson

    eess.SYmath.OCarXiv:1702.01031v12017

  32. Online Batch Selection for Faster Training of Neural Networks

    Ilya Loshchilov, Frank Hutter

    cs.LGcs.NEmath.OCarXiv:1511.06343v42015

  33. Lower Bounds for Finding Stationary Points I

    Yair Carmon, John C. Duchi, Oliver Hinder +1

    math.OCarXiv:1710.11606v32017

  34. Distributionally Robust Logistic Regression

    Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn

    math.OCstat.MLarXiv:1509.09259v32015

  35. On the Critical Coupling for Kuramoto Oscillators

    Florian Dorfler, Francesco Bullo

    math.DSeess.SYmath-pharXiv:1011.3878v22010

  36. Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

    Angelia Nedic, Alex Olshevsky

    math.OCeess.SYarXiv:1406.2075v22014

  37. Optimizing Age-of-Information in a Multi-class Queueing System

    Longbo Huang, Eytan Modiano

    math.OCcs.PFarXiv:1504.05103v12015

  38. Computing in Operations Research using Julia

    Miles Lubin, Iain Dunning

    math.OCcs.PLmath.NAarXiv:1312.1431v12013

  39. Stability robustness of a feedback interconnection of systems with negative imaginary frequency response

    A. Lanzon, I. R. Petersen

    math.OCeess.SYarXiv:1401.7739v12014

  40. Communication-Efficient Distributed Dual Coordinate Ascent

    Martin Jaggi, Virginia Smith, Martin Takáč +4

    cs.LGmath.OCstat.MLarXiv:1409.1458v22014

  41. Storage Size Determination for Grid-Connected Photovoltaic Systems

    Yu Ru, Jan Kleissl, Sonia Martinez

    math.OCeess.SYarXiv:1109.4102v22011

  42. Loss landscapes and optimization in over-parameterized non-linear systems and neural networks

    Chaoyue Liu, Libin Zhu, Mikhail Belkin

    cs.LGmath.OCstat.MLarXiv:2003.00307v22020

  43. Challenges and Opportunities in Quantum Optimization

    Amira Abbas, Andris Ambainis, Brandon Augustino +43

    quant-phmath.OCarXiv:2312.02279v32023

  44. Projected Reflected Gradient Methods for Monotone Variational Inequalities

    Yu. Malitsky

    math.OCarXiv:1502.04968v12015

  45. Learning to Optimize: A Primer and A Benchmark

    Tianlong Chen, Xiaohan Chen, Wuyang Chen +4

    math.OCcs.LGstat.MLarXiv:2103.12828v22021

  46. Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework

    Ugo Rosolia, Francesco Borrelli

    eess.SYcs.LGmath.OCarXiv:1609.01387v72016

  47. Bilevel Optimization: Convergence Analysis and Enhanced Design

    Kaiyi Ji, Junjie Yang, Yingbin Liang

    cs.LGmath.OCstat.MLarXiv:2010.07962v32020

  48. Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods

    Guoyin Li, Ting Kei Pong

    math.OCstat.MLarXiv:1602.02915v62016

  49. A Review of Pseudospectral Optimal Control: From Theory to Flight

    I. M. Ross, M. Karpenko

    math.OCcs.AIeess.SYarXiv:2511.20843v12025

  50. Optimal algorithms for smooth and strongly convex distributed optimization in networks

    Kevin Scaman, Francis Bach, Sébastien Bubeck +2

    math.OCstat.MLarXiv:1702.08704v22017

  51. Millimeter Wave Cellular Networks: A MAC Layer Perspective

    Hossein Shokri-Ghadikolaei, Carlo Fischione, Gabor Fodor +2

    cs.ITmath.OCarXiv:1503.00697v42015

  52. Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration with Repair Crew and Mobile Power Source Dispatch

    Shunbo Lei, Chen Chen, Yupeng Li +1

    math.OCarXiv:1806.07581v12018

  53. Gradient descent GAN optimization is locally stable

    Vaishnavh Nagarajan, J. Zico Kolter

    cs.LGcs.AImath.OCarXiv:1706.04156v32017

  54. Volatility of Power Grids under Real-Time Pricing

    Mardavij Roozbehani, Munther A Dahleh, Sanjoy K Mitter

    eess.SYmath.DSmath.OCarXiv:1106.1401v12011
    Summaries:한국어

  55. Fast Local Voltage Control under Limited Reactive Power: Optimality and Stability Analysis

    Hao Zhu, Hao Jan Liu

    math.OCarXiv:1510.07013v12015

  56. Multi-Agent Distributed Optimization via Inexact Consensus ADMM

    Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang

    eess.SYmath.OCarXiv:1402.6065v22014

  57. Approximately bisimilar symbolic models for incrementally stable switched systems

    Antoine Girard, Giordano Pola, Paulo Tabuada

    math.OCarXiv:0807.5022v12008

  58. Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms

    Amir Beck, Yonina C. Eldar

    cs.ITmath.OCarXiv:1203.4580v12012

  59. Multi-objective Flower Algorithm for Optimization

    Xin-She Yang, M. Karamanoglu, Xingshi He

    cs.NEmath.OCarXiv:1404.0695v12014

  60. Distributed Stochastic Gradient Tracking Methods

    Shi Pu, Angelia Nedić

    math.OCcs.DCcs.SIarXiv:1805.11454v52018