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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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1,021 to 1,080 of 1,592

  1. Sensor Management: Past, Present, and Future

    Alfred O. Hero, Douglas Cochran

    stat.APcs.ROeess.SYarXiv:1109.2363v12011

  2. IPO: Interior-point Policy Optimization under Constraints

    Yongshuai Liu, Jiaxin Ding, Xin Liu

    cs.LGmath.OCstat.MLarXiv:1910.09615v12019

  3. GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

    Tianle Cai, Shengjie Luo, Keyulu Xu +3

    cs.LGmath.OCstat.MLarXiv:2009.03294v32020

  4. Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

    Shicong Cen, Chen Cheng, Yuxin Chen +2

    stat.MLcs.ITcs.LGarXiv:2007.06558v52020

  5. An Online Convex Optimization Approach to Dynamic Network Resource Allocation

    Tianyi Chen, Qing Ling, Georgios B. Giannakis

    eess.SYcs.LGmath.OCarXiv:1701.03974v22017

  6. Robust Sample Average Approximation

    Dimitris Bertsimas, Vishal Gupta, Nathan Kallus

    math.OCarXiv:1408.4445v32014

  7. On two proofs of $d^2$ mixing of weighted Dikin walks

    Yuansi Chen, Yunbum Kook

    cs.DScs.LGmath.OCarXiv:2608.28566v12026

  8. Non-convex Finite-Sum Optimization Via SCSG Methods

    Lihua Lei, Cheng Ju, Jianbo Chen +1

    math.OCcs.CCarXiv:1706.09156v42017

  9. A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems

    Noemi Petra, James Martin, Georg Stadler +1

    stat.MEmath.NAmath.OCarXiv:1308.6221v22013

  10. Batched Large-scale Bayesian Optimization in High-dimensional Spaces

    Zi Wang, Clement Gehring, Pushmeet Kohli +1

    stat.MLcs.LGmath.OCarXiv:1706.01445v42017

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

    Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter

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

  12. Energy-Efficient Power Control: A Look at 5G Wireless Technologies

    Alessio Zappone, Luca Sanguinetti, Giacomo Bacci +2

    cs.ITmath.OCarXiv:1503.04609v22015

  13. A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation

    Miles Lubin, Yury Dvorkin, Scott Backhaus

    math.OCarXiv:1504.06011v32015

  14. Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

    Chuhan Yang, Chenxi Wang, Linhan Wu +1

    math.OCcs.LGarXiv:2608.27873v12026

  15. Natasha 2: Faster Non-Convex Optimization Than SGD

    Zeyuan Allen-Zhu

    math.OCcs.DScs.LGarXiv:1708.08694v42017

  16. Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

    Bing Luo, Wenli Xiao, Shiqiang Wang +2

    cs.LGcs.AIcs.DCarXiv:2112.11256v12021

  17. Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments

    Stephen L. Smith, Mac Schwager, Daniela Rus

    cs.ROmath.OCarXiv:1102.0603v12011

  18. On the performance analysis of resilient networked control systems under replay attacks

    Minghui Zhu, Sonia Martinez

    math.OCarXiv:1307.2790v12013

  19. Reduced order models for control of fluids using the Eigensystem Realization Algorithm

    Zhanhua Ma, Sunil Ahuja, Clarence W. Rowley

    math.OCarXiv:0907.1907v12009

  20. Gradient Descent Can Take Exponential Time to Escape Saddle Points

    Simon S. Du, Chi Jin, Jason D. Lee +3

    math.OCcs.LGstat.MLarXiv:1705.10412v22017

  21. Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: a bi-level programming approach via real-time pricing

    Yang Li, Zhen Yang, Guoqing Li +4

    eess.SPmath.OCarXiv:1809.10206v12018

  22. Distributed Optimal Power Flow Algorithm for Balanced Radial Distribution Networks

    Qiuyu Peng, Steven H. Low

    math.OCarXiv:1404.0700v22014

  23. An Accelerated Linearized Alternating Direction Method of Multipliers

    Yuyuan Ouyang, Yunmei Chen, Guanghui Lan +1

    math.OCarXiv:1401.6607v32014

  24. Distributed Coordinate Descent Method for Learning with Big Data

    Peter Richtárik, Martin Takáč

    stat.MLcs.DCcs.LGarXiv:1310.2059v12013

  25. Improved Price Oracles: Constant Function Market Makers

    Guillermo Angeris, Tarun Chitra

    q-fin.TRmath.OCarXiv:2003.10001v42020

  26. Optimal experimental design and some related control problems

    Luc Pronzato

    math.OCarXiv:0802.4381v12008

  27. On the Complexity Analysis of Randomized Block-Coordinate Descent Methods

    Zhaosong Lu, Lin Xiao

    math.OCcs.LGmath.NAarXiv:1305.4723v12013

  28. Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality

    Clément Soubrier, Geoffrey Woollard, Andrew Warren +1

    math.OCcs.LGarXiv:2608.27774v12026

  29. Discrete-Time Fractional Variational Problems

    Nuno R. O. Bastos, Rui A. C. Ferreira, Delfim F. M. Torres

    math.OCarXiv:1005.0252v12010

  30. Online Control with Adversarial Disturbances

    Naman Agarwal, Brian Bullins, Elad Hazan +2

    cs.LGeess.SYmath.OCarXiv:1902.08721v12019

  31. Constrained Reinforcement Learning Has Zero Duality Gap

    Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana +1

    cs.LGmath.OCstat.MLarXiv:1910.13393v12019

  32. Solution Methods for Infinite-Dimensional Generalized Disjunctive Programming

    Daniel Nguyen, Joshua L. Pulsipher

    math.OCeess.SYarXiv:2608.27707v12026

  33. Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval

    Yuxin Chen, Yuejie Chi, Jianqing Fan +1

    stat.MLcs.ITcs.LGarXiv:1803.07726v22018

  34. Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

    Cong Ma, Kaizheng Wang, Yuejie Chi +1

    cs.LGcs.ITmath.OCarXiv:1711.10467v32017

  35. Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems

    Bernhard Schmitzer

    math.OCcs.CEmath.NAarXiv:1610.06519v22016

  36. Learning from History for Byzantine Robust Optimization

    Sai Praneeth Karimireddy, Lie He, Martin Jaggi

    cs.LGcs.DCmath.OCarXiv:2012.10333v32020

  37. Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

    Yang Li, Chunling Wang, Guoqing Li +3

    eess.SYmath.OCarXiv:2001.10371v12020

  38. Horizon-Independent Contraction for Continuous-Time Discounted Regularized Mean-Field Games

    Junji Yan, Uğur Aydın, Tamer Başar

    cs.GTeess.SYmath.OCarXiv:2608.27723v12026

  39. Accelerated Distributed Nesterov Gradient Descent

    Guannan Qu, Na Li

    math.OCarXiv:1705.07176v42017

  40. A Linearly-Convergent Stochastic L-BFGS Algorithm

    Philipp Moritz, Robert Nishihara, Michael I. Jordan

    math.OCcs.LGmath.NAarXiv:1508.02087v22015

  41. Learning One-hidden-layer Neural Networks with Landscape Design

    Rong Ge, Jason D. Lee, Tengyu Ma

    cs.LGcs.DSmath.OCarXiv:1711.00501v22017

  42. Optimization Problems for Machine Learning: A Survey

    Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya

    math.OCcs.LGarXiv:1901.05331v52019

  43. Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization

    Pascal Bianchi, Jérémie Jakubowicz

    math.OCcs.DCeess.SYarXiv:1107.2526v32011

  44. Sparsity-Promoting Optimal Wide-Area Control of Power Networks

    Florian Dörfler, Mihailo R. Jovanovic, Michael Chertkov +1

    math.OCarXiv:1307.4342v22013

  45. Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design

    Ian R. Manchester, Jean-Jacques E. Slotine

    eess.SYmath.OCarXiv:1503.03144v32015

  46. Mistuning-based Control Design to Improve Closed-Loop Stability of Vehicular Platoons

    Prabir Barooah, Prashant G. Mehta, Joao P Hespanha

    math.OCarXiv:0812.1030v12008

  47. Optimal control of fractional diffusion with Dirac measures

    Enrique Otarola, Abner J. Salgado

    math.OCmath.NAarXiv:2608.27776v12026

  48. Gotta Go Fast When Generating Data with Score-Based Models

    Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer +2

    cs.LGcs.CVmath.OCarXiv:2105.14080v12021

  49. On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method

    Matthew King-Roskamp, Gabriel Rioux, Rustum Choksi +1

    math.OCcs.LGstat.MLarXiv:2608.27705v12026

  50. Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties

    Ji Liu, Stephen J. Wright

    math.OCarXiv:1403.3862v22014

  51. On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms

    Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar

    cs.LGmath.OCstat.MLarXiv:1908.10400v42019

  52. Privacy-Preserving Average Consensus via State Decomposition

    Yongqiang Wang

    math.OCcs.CReess.SYarXiv:1902.09576v22019

  53. Optimality of Affine Policies in Multi-stage Robust Optimization

    Dimitris Bertsimas, Dan A. Iancu, Pablo A. Parrilo

    math.OCarXiv:0904.3986v12009

  54. Guarantees for Greedy Maximization of Non-submodular Functions with Applications

    Andrew An Bian, Joachim M. Buhmann, Andreas Krause +1

    cs.DMcs.AIcs.DSarXiv:1703.02100v42017

  55. On Distributionally Robust Chance Constrained Programs with Wasserstein Distance

    Weijun Xie

    math.OCarXiv:1806.07418v42018

  56. Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

    Hongyi Zhang, Sashank J. Reddi, Suvrit Sra

    math.OCcs.LGarXiv:1605.07147v22016

  57. Distributed event-triggered coordination for average consensus on weight-balanced digraphs

    Cameron Nowzari, Jorge Cortes

    math.OCarXiv:1407.7921v32014

  58. A survey on modeling of microgrids - from fundamental physics to phasors and voltage sources

    Johannes Schiffer, Daniele Zonetti, Romeo Ortega +3

    eess.SYmath.DSmath.OCarXiv:1505.00136v22015

  59. Online Convex Optimization with Stochastic Constraints

    Hao Yu, Michael J. Neely, Xiaohan Wei

    math.OCstat.MLarXiv:1708.03741v12017

  60. Decentralized Deep Learning with Arbitrary Communication Compression

    Anastasia Koloskova, Tao Lin, Sebastian U. Stich +1

    cs.LGcs.DCcs.DSarXiv:1907.09356v32019