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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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1,801 to 1,860 of 2,612

  1. Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization

    Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan

    math.OCcs.DScs.LGarXiv:2011.00364v22020

  2. A note on finite-time and fixed-time stability

    Wenlian Lu, Xiwei Liu, Tianping Chen

    nlin.AOmath.OCarXiv:1507.07160v32015

  3. Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced

    Simon S. Du, Wei Hu, Jason D. Lee

    cs.LGmath.OCstat.MLarXiv:1806.00900v22018

  4. Multiple Pursuer Multiple Evader Differential Games

    Eloy Garcia, David W. Casbeer, Alexander Von Moll +1

    math.OCarXiv:1911.03806v12019

  5. A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation

    Rahul Krishnan, Volker Schulz

    cs.LGcs.CLmath.OCarXiv:2607.12550v42026

  6. Alternating Direction Algorithms for Constrained Sparse Regression: Application to Hyperspectral Unmixing

    José M. Bioucas-Dias, Mário A. T. Figueiredo

    math.OCmath.NAarXiv:1002.4527v22010

  7. Gradient descent GAN optimization is locally stable

    Vaishnavh Nagarajan, J. Zico Kolter

    cs.LGcs.AImath.OCarXiv:1706.04156v32017

  8. Dynamic Type Matching

    Ming Hu, Yun Zhou

    math.OCarXiv:1811.07048v12018

  9. On-line Building Energy Optimization using Deep Reinforcement Learning

    Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen +4

    cs.LGcs.AImath.OCarXiv:1707.05878v12017

  10. Distributed Algorithms for Filtering, Estimation, and Fault Detection over Cyber-Physical-Systems: A Tutorial and Survey

    Mohammadreza Doostmohammadian, Mahdi Shamsi, Hadi Zayyani +4

    eess.SYcs.SYeess.SParXiv:2609.29640v12026

  11. A Review of Cooperative Multi-Agent Deep Reinforcement Learning

    Afshin OroojlooyJadid, Davood Hajinezhad

    cs.LGcs.AIcs.MAarXiv:1908.03963v42019

  12. Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

    Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale +4

    cs.LGcs.DCmath.OCarXiv:2008.03606v22020

  13. The SCIP Optimization Suite 9.0

    Suresh Bolusani, Mathieu Besançon, Ksenia Bestuzheva +28

    math.OCarXiv:2402.17702v22024

  14. Tight Majorizations and Convergence Rates of Nuclear Norm Minimization IRLS

    Christian Kümmerle, Tomas Masak, Dominik Stöger

    cs.LGmath.NAmath.OCarXiv:2608.23765v12026

  15. Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization

    Shiqian Ma, Donald Goldfarb, Lifeng Chen

    math.OCcs.ITarXiv:0905.1643v22009

  16. ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning

    Zhixiong Yang, Waheed U. Bajwa

    cs.LGcs.DCmath.OCarXiv:1708.08155v42017

  17. 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

  18. Data-Driven Control of Complex Networks

    Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti

    eess.SYmath.OCphysics.soc-pharXiv:2003.12189v32020

  19. Symbolic control of stochastic systems via approximately bisimilar finite abstractions

    Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar +2

    math.OCeess.SYarXiv:1302.3868v12013

  20. Distributionally Robust Chance-Constrained Approximate AC-OPF with Wasserstein Metric

    Chao Duan, Wanliang Fang, Lin Jiang +2

    math.OCarXiv:1706.05538v22017

  21. Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter

    Denis Belomestny

    stat.MLcs.LGmath.OCarXiv:2608.29152v12026

  22. Hybrid Quantum-Classical Algorithm For Robust Optimization via Stochastic-Gradient Online Learning

    Debbie Lim, Joao F. Doriguello, Patrick Rebentrost

    quant-phmath.OCarXiv:2304.02262v22023

  23. Reinforcement learning to choose optimizers

    Martin van der Schelling, Deepesh Toshniwal, Miguel A. Bessa

    cs.NEcs.LGmath.OCarXiv:2609.01811v12026

  24. Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

    Peyman Mohajerin Esfahani, Daniel Kuhn

    math.OCstat.COarXiv:1505.05116v32015

  25. Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration

    Shuhan Yao, Peng Wang, Xiaochuan Liu +2

    math.OCarXiv:1905.06599v22019

  26. Distributed Delayed Stochastic Optimization

    Alekh Agarwal, John C. Duchi

    math.OCstat.MLarXiv:1104.5525v12011

  27. Grid Theory and Polynomiality in Dynamic Lot-Sizing

    El-Mehdi Mehiri, Nabil Absi, Elodie Suzanne

    math.OCcs.DMcs.DSarXiv:2610.03559v12026

  28. RobustLDS: Learning linear dynamical systems under adversarial corruptions

    Aravinda Kanchana Ruwanpathirana, Hemant Tyagi

    stat.MLcs.LGcs.SYarXiv:2610.11906v12026

  29. Distributed Multi-Agent Optimization with State-Dependent Communication

    Ilan Lobel, Asuman Ozdaglar, Diego Feijer

    math.OCarXiv:1004.0969v12010

  30. Dispersive Forward Tree Search for Optimal Control: Coverage, Complexity, and Computation

    Shashank A. Deshpande, Jonathan P. How

    cs.ROmath.OCarXiv:2608.26314v12026

  31. XNAS: Neural Architecture Search with Expert Advice

    Niv Nayman, Asaf Noy, Tal Ridnik +3

    cs.LGcs.CVmath.OCarXiv:1906.08031v12019

  32. A simple approach to distributed observer design for linear systems

    Weixin Han, Harry L. Trentelman, Zhenhua Wang +1

    math.OCarXiv:1708.01459v12017

  33. An Overview of Sustainable Green 5G Networks

    Qingqing Wu, Geoffrey Ye Li, Wen Chen +2

    cs.ITcs.NImath.OCarXiv:1609.09773v22016

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

    Kaiqing Zhang, Alec Koppel, Hao Zhu +1

    math.OCcs.LGeess.SYarXiv:1906.08383v32019

  35. A Convergence Theory for Deep Learning via Over-Parameterization

    Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song

    cs.LGcs.DScs.NEarXiv:1811.03962v52018

  36. Gromov-Monge Flow Matching for Equivariant Graph Generation

    Moritz Piening, Christian Wald

    cs.LGmath.OCstat.MLarXiv:2608.26961v12026

  37. Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances

    Meisam Razaviyayn, Tianjian Huang, Songtao Lu +3

    math.OCcs.LGstat.MLarXiv:2006.08141v22020

  38. Reinforcement Learning for Batch Bioprocess Optimization

    Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford +2

    math.OCeess.SYarXiv:1904.07292v32019

  39. Efficient tensor bases for pairwise comparisons

    Konrad Kułakowski, Ryszard Smarzewski

    cs.CEecon.EMmath.OCarXiv:2608.25923v12026

  40. Highway Traffic State Estimation with Mixed Connected and Conventional Vehicles

    Nikolaos Bekiaris-Liberis, Claudio Roncoli, Markos Papageorgiou

    math.OCarXiv:1504.06879v12015

  41. Fast Reconstruction of Compact Context-Specific Metabolic Network Models

    Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter

    q-bio.MNcs.CEmath.OCarXiv:1304.7992v32013

  42. Nonlinear Stabilization under Sampled and Delayed Measurements, and with Inputs Subject to Delay and Zero-Order Hold

    Iasson Karafyllis, Miroslav Krstic

    math.OCarXiv:1012.2316v12010

  43. A System Level Approach to Controller Synthesis

    Yuh-Shyang Wang, Nikolai Matni, John C. Doyle

    eess.SYmath.OCarXiv:1610.04815v32016

  44. Hyperparameter Optimization: A Spectral Approach

    Elad Hazan, Adam Klivans, Yang Yuan

    cs.LGcs.AImath.OCarXiv:1706.00764v42017

  45. The Global Asymptotic Stability Problem for Linear MPC Is Undecidable

    Johan Löfberg

    math.OCcs.SYeess.SYarXiv:2609.09930v12026

  46. 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

  47. Mini-batch Stochastic Approximation Methods for Nonconvex Stochastic Composite Optimization

    Saeed Ghadimi, Guanghui Lan, Hongchao Zhang

    math.OCarXiv:1308.6594v22013

  48. A Simple and Efficient Algorithm for Nonlinear Model Predictive Control

    Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis +1

    math.OCarXiv:1709.06487v12017

  49. Finite-data error bounds for Koopman-based prediction and control

    Feliks Nüske, Sebastian Peitz, Friedrich Philipp +2

    math.OCmath.DSmath.PRarXiv:2108.07102v22021

  50. Small gain theorems for large scale systems and construction of ISS Lyapunov functions

    Sergey N. Dashkovskiy, Björn S. Rüffer, Fabian R. Wirth

    math.OCarXiv:0901.1842v22009

  51. Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

    Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati +3

    cs.LGcs.GTmath.OCarXiv:1807.02629v22018

  52. Distributed Algorithms for Aggregative Games on Graphs

    Jayash Koshal, Angelia Nedić, Uday V. Shanbhag

    math.OCarXiv:1605.00267v22016

  53. Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization

    Wei Jiang, Rui Yan, Sifan Yang +3

    math.OCcs.LGarXiv:2610.01572v12026

  54. Private and Distributionally Robust Federated Multiclass Classification

    Andrea P. Hernandez, Michael Ibrahim, Nagi Gebraeel

    cs.LGmath.OCarXiv:2610.13631v12026

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

    Bart Besselink, Karl H. Johansson

    eess.SYmath.OCarXiv:1702.01031v12017

  56. Towards Sustainable Hydrogen Systems: Supply Chain Optimization with Model Predictive Control and Reinforcement Learning

    Mahammad Valiyev

    math.OCcs.LGarXiv:2609.11933v12026

  57. SGDR: Stochastic Gradient Descent with Warm Restarts

    Ilya Loshchilov, Frank Hutter

    cs.LGcs.NEmath.OCarXiv:1608.03983v52016

  58. A Passivity-Based Approach to Nash Equilibrium Seeking over Networks

    Dian Gadjov, Lacra Pavel

    math.OCarXiv:1705.02424v12017

  59. Lower Bounds for Non-Convex Stochastic Optimization

    Yossi Arjevani, Yair Carmon, John C. Duchi +3

    math.OCcs.ITcs.LGarXiv:1912.02365v22019

  60. Breaking the Curse of Dimensionality with Convex Neural Networks

    Francis Bach

    cs.LGmath.OCmath.STarXiv:1412.8690v22014