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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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1,081 to 1,140 of 1,591

  1. Large-Scale Methods for Distributionally Robust Optimization

    Daniel Levy, Yair Carmon, John C. Duchi +1

    math.OCcs.LGstat.MLarXiv:2010.05893v22020

  2. Hierarchical Game-Theoretic Planning for Autonomous Vehicles

    Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3

    cs.ROcs.AIcs.MAarXiv:1810.05766v12018

  3. Optimal Placement of Virtual Inertia in Power Grids

    Bala Kameshwar Poolla, Saverio Bolognani, Florian Dorfler

    math.OCarXiv:1510.01497v52015

  4. ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

    Zhimin Peng, Yangyang Xu, Ming Yan +1

    math.OCcs.DCstat.MLarXiv:1506.02396v52015

  5. The Euclidean distance degree of an algebraic variety

    Jan Draisma, Emil Horobet, Giorgio Ottaviani +2

    math.AGmath.OCarXiv:1309.0049v32013

  6. Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming

    Mahyar Fazlyab, Manfred Morari, George J. Pappas

    math.OCcs.LGarXiv:1903.01287v32019

  7. A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part II

    Anton Proskurnikov, Roberto Tempo

    cs.SIeess.SYmath.OCarXiv:1801.06719v22018

  8. Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach

    Maojiao Ye, Guoqiang Hu

    econ.GNeess.SYmath.OCarXiv:1508.02636v32015

  9. Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

    Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou

    stat.MLcs.LGmath.AParXiv:2110.11291v52021

  10. Gradient Descent Learns Linear Dynamical Systems

    Moritz Hardt, Tengyu Ma, Benjamin Recht

    cs.LGcs.DSmath.OCarXiv:1609.05191v22016

  11. A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

    Simon Lacoste-Julien, Mark Schmidt, Francis Bach

    cs.LGmath.OCstat.MLarXiv:1212.2002v22012

  12. On Tensor Completion via Nuclear Norm Minimization

    Ming Yuan, Cun-Hui Zhang

    stat.MLcs.ITmath.NAarXiv:1405.1773v12014

  13. Distributionally Robust Chance Constrained Data-enabled Predictive Control

    Jeremy Coulson, John Lygeros, Florian Dörfler

    math.OCarXiv:2006.01702v22020

  14. Eagle Strategy Using Lévy Walk and Firefly Algorithms For Stochastic Optimization

    Xin-She Yang, Suash Deb

    math.OCarXiv:1004.4165v12010

  15. Cyber-Physical Attacks in Power Networks: Models, Fundamental Limitations and Monitor Design

    Fabio Pasqualetti, Florian Dörfler, Francesco Bullo

    math.OCeess.SYarXiv:1103.2795v12011

  16. Charging Scheduling of Electric Vehicles with Local Renewable Energy under Uncertain Electric Vehicle Arrival and Grid Power Price

    Tian Zhang, Wei Chen, Zhu Han +1

    math.OCarXiv:1301.2457v12013

  17. Robust Trajectory and Transmit Power Design for Secure UAV Communications

    Miao Cui, Guangchi Zhang, Qingqing Wu +1

    cs.ITmath.DSmath.OCarXiv:1806.06396v12018

  18. Optimal Primal-Dual Methods for a Class of Saddle Point Problems

    Yunmei Chen, Guanghui Lan, Yuyuan Ouyang

    math.OCarXiv:1309.5548v12013

  19. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

    Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar +1

    stat.MLeess.SYmath.OCarXiv:1009.0571v32010

  20. The non-convex Burer-Monteiro approach works on smooth semidefinite programs

    Nicolas Boumal, Vladislav Voroninski, Afonso S. Bandeira

    math.OCmath.NAarXiv:1606.04970v32016

  21. Incremental Stochastic Subgradient Algorithms for Convex Optimization

    S Sundhar Ram, A Nedich, V. V. Veeravalli

    math.OCmath.DSarXiv:0806.1092v12008

  22. Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions

    Donald Goldfarb, Shiqian Ma, Katya Scheinberg

    math.OCcs.CVmath.NAarXiv:0912.4571v22009

  23. Robust Model Predictive Control via Scenario Optimization

    Giuseppe C. Calafiore, Lorenzo Fagiano

    eess.SYmath.OCarXiv:1206.0038v12012

  24. A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality

    L. Briceno-Arias, P. L. Combettes

    math.OCarXiv:1011.5517v12010

  25. Symbolic models for nonlinear control systems without stability assumptions

    Majid Zamani, Giordano Pola, Manuel Mazo +1

    math.OCarXiv:1002.0822v42010

  26. Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization

    Nicolas Gillis, François Glineur

    math.OCmath.NAarXiv:1107.5194v22011

  27. Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles

    Yann Ollivier, Ludovic Arnold, Anne Auger +1

    math.OCarXiv:1106.3708v42011

  28. A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity

    Yura Malitsky, Matthew K. Tam

    math.OCarXiv:1808.04162v42018

  29. Simultaneously Structured Models with Application to Sparse and Low-rank Matrices

    Samet Oymak, Amin Jalali, Maryam Fazel +2

    cs.ITmath.OCarXiv:1212.3753v32012

  30. Deep Neural Networks Motivated by Partial Differential Equations

    Lars Ruthotto, Eldad Haber

    cs.LGmath.OCstat.MLarXiv:1804.04272v22018

  31. Learning Control Barrier Functions from Expert Demonstrations

    Alexander Robey, Haimin Hu, Lars Lindemann +4

    eess.SYcs.LGmath.OCarXiv:2004.03315v32020

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

    Chao Duan, Wanliang Fang, Lin Jiang +2

    math.OCarXiv:1706.05538v22017

  33. Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising

    Stanley Osher, Yu Mao, Bin Dong +1

    math.OCcs.ITarXiv:1104.0262v12011

  34. Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods

    Adrien B. Taylor, Julien M. Hendrickx, François Glineur

    math.OCarXiv:1502.05666v62015

  35. Time-Inconsistent Stochastic Linear--Quadratic Control

    Ying Hu, Hanqing Jin, Xun Yu Zhou

    math.OCmath.DSmath.PRarXiv:1111.0818v12011

  36. A Geometric Analysis of Neural Collapse with Unconstrained Features

    Zhihui Zhu, Tianyu Ding, Jinxin Zhou +4

    cs.LGcs.AIcs.ITarXiv:2105.02375v12021

  37. A linear algorithm for optimization over directed graphs with geometric convergence

    Ran Xin, Usman A. Khan

    math.OCarXiv:1803.02503v32018

  38. Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels

    Junxiao Song, Prabhu Babu, Daniel P. Palomar

    math.OCarXiv:1506.04234v12015

  39. Near-Optimal Algorithms for Minimax Optimization

    Tianyi Lin, Chi Jin, Michael. I. Jordan

    math.OCcs.LGstat.MLarXiv:2002.02417v62020

  40. Splitting Methods for Convex Clustering

    Eric C. Chi, Kenneth Lange

    stat.MLmath.NAmath.OCarXiv:1304.0499v22013

  41. PhaseMax: Convex Phase Retrieval via Basis Pursuit

    Tom Goldstein, Christoph Studer

    cs.ITmath.OCarXiv:1610.07531v32016

  42. On the Power of Over-parametrization in Neural Networks with Quadratic Activation

    Simon S. Du, Jason D. Lee

    cs.LGcs.AImath.OCarXiv:1803.01206v22018

  43. RUDDER: Return Decomposition for Delayed Rewards

    Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich +3

    cs.LGcs.AImath.OCarXiv:1806.07857v32018

  44. Is Local SGD Better than Minibatch SGD?

    Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich +5

    cs.LGmath.OCstat.MLarXiv:2002.07839v22020

  45. Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers

    Petr Šulc, Scott Backhaus, Michael Chertkov

    math.OCeess.SYarXiv:1310.5748v22013

  46. 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

  47. A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

    Lars Ruthotto, Stanley Osher, Wuchen Li +2

    cs.LGmath.NAmath.OCarXiv:1912.01825v32019

  48. Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence

    Mert Pilanci, Martin J. Wainwright

    math.OCcs.DScs.LGarXiv:1505.02250v12015

  49. Consensus optimization on manifolds

    Alain Sarlette, Rodolphe Sepulchre

    math.OCmath.DGarXiv:0811.4275v12008

  50. Secure State Estimation For Cyber Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach

    Yasser Shoukry, Pierluigi Nuzzo, Alberto Puggelli +3

    math.OCcs.CRcs.ITarXiv:1412.4324v22014

  51. The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization

    Constantinos Daskalakis, Ioannis Panageas

    math.OCcs.LGstat.MLarXiv:1807.03907v22018

  52. Combinatorial Optimization with Physics-Inspired Graph Neural Networks

    Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber

    cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021

  53. Optimality Conditions and Finite Convergence of Lasserre's Hierarchy

    Jiawang Nie

    math.OCarXiv:1206.0319v22012

  54. Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent

    Chi Jin, Praneeth Netrapalli, Michael I. Jordan

    cs.LGmath.OCstat.MLarXiv:1711.10456v12017

  55. Differentially Private Distributed Constrained Optimization

    Shuo Han, Ufuk Topcu, George J. Pappas

    math.OCcs.DSeess.SYarXiv:1411.4105v12014

  56. Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO

    Indranil Pan, Saptarshi Das

    eess.SYcs.AImath.OCarXiv:1611.09809v12016

  57. Impact of different time series aggregation methods on optimal energy system design

    Leander Kotzur, Peter Markewitz, Martin Robinius +1

    math.OCcs.CEarXiv:1708.00420v12017

  58. A Proximal Decomposition Method for Solving Convex Variational Inverse Problems

    Patrick L. Combettes, Jean-Christophe Pesquet

    math.OCmath.NAarXiv:0807.2617v22008

  59. Reach-Avoid Problems with Time-Varying Dynamics, Targets and Constraints

    Jaime F. Fisac, Mo Chen, Claire J. Tomlin +1

    math.OCarXiv:1410.6445v22014

  60. Few-Shot Learning via Learning the Representation, Provably

    Simon S. Du, Wei Hu, Sham M. Kakade +2

    cs.LGmath.OCstat.MLarXiv:2002.09434v22020