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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1,741 to 1,800 of 2,617

  1. Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space

    Nikolas Nüsken, Lorenz Richter

    math.OCcs.LGmath.NAarXiv:2005.05409v22020
  2. Universal Quantum Control through Deep Reinforcement Learning

    Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskiy +1

    quant-phmath.OCarXiv:1803.01857v22018
  3. Batch Policy Learning under Constraints

    Hoang M. Le, Cameron Voloshin, Yisong Yue

    cs.LGcs.AImath.OCarXiv:1903.08738v12019
  4. Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods

    Maher Nouiehed, Maziar Sanjabi, Tianjian Huang +2

    math.OCcs.LGstat.MLarXiv:1902.08297v32019
  5. Model Predictive Control for Dynamic Hydraulic Balancing in Building Radiator Heating Systems: Modeling, Design, and Experimental Validation

    Erfan Shakhesi, Maurice Heemels, Paula Chanfreut

    eess.SYcs.SYmath.OCarXiv:2609.08708v12026
  6. Age of Information: Whittle Index for Scheduling Stochastic Arrivals

    Yu-Pin Hsu

    math.OCcs.ITcs.NIarXiv:1801.03422v22018
  7. Hybrid Models for Learning to Branch

    Prateek Gupta, Maxime Gasse, Elias B. Khalil +3

    cs.LGmath.OCstat.MLarXiv:2006.15212v32020
  8. Tropical polyhedra are equivalent to mean payoff games

    Marianne Akian, Stephane Gaubert, Alexander Guterman

    math.COmath.OCarXiv:0912.2462v32009
  9. Optimal Sensor and Actuator Placement in Complex Dynamical Networks

    Tyler H. Summers, John Lygeros

    math.OCcs.SYeess.SYarXiv:1306.2491v22013
  10. Influence of Initialization on the Performance of Metaheuristic Optimizers

    Qian Li, San-Yang Liu, Xin-She Yang

    cs.NEcs.LGmath.OCarXiv:2003.03789v12020
  11. Importance Sampling for Minibatches

    Dominik Csiba, Peter Richtárik

    cs.LGmath.OCstat.MLarXiv:1602.02283v12016
  12. Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems

    Gesualdo Scutari, Francisco Facchinei, Peiran Song +2

    cs.ITmath.OCarXiv:1302.0756v22013
  13. Using Underapproximations for Sparse Nonnegative Matrix Factorization

    Nicolas Gillis, François Glineur

    math.OCarXiv:0902.1060v22009
  14. On Biased Compression for Distributed Learning

    Aleksandr Beznosikov, Samuel Horváth, Peter Richtárik +1

    cs.LGcs.DCmath.OCarXiv:2002.12410v42020
  15. Optimal Homologous Cycles, Total Unimodularity, and Linear Programming

    Tamal K. Dey, Anil N. Hirani, Bala Krishnamoorthy

    math.ATcs.CGcs.DSarXiv:1001.0338v32010
  16. Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization

    Zhize Li, Dmitry Kovalev, Xun Qian +1

    math.OCcs.DCcs.LGarXiv:2002.11364v22020
  17. Convergence rates of efficient global optimization algorithms

    Adam D. Bull

    stat.MLmath.OCmath.STarXiv:1101.3501v32011
  18. Pathwise coordinate optimization

    Jerome Friedman, Trevor Hastie, Holger Höfling +1

    stat.COmath.OCarXiv:0708.1485v22007
  19. Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion

    Ashok Cutkosky, Harsh Mehta, Francesco Orabona

    cs.LGmath.OCstat.MLarXiv:2302.03775v32023
  20. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

    Yann Dauphin, Razvan Pascanu, Caglar Gulcehre +3

    cs.LGmath.OCstat.MLarXiv:1406.2572v12014
  21. Near-Optimal Algorithms for Minimax Optimization

    Tianyi Lin, Chi Jin, Michael. I. Jordan

    math.OCcs.LGstat.MLarXiv:2002.02417v62020
  22. Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems

    Jaynta Mandi, Emir Demirović, Peter. J Stuckey +1

    cs.LGcs.AImath.OCarXiv:1911.10092v12019
  23. A Review on Feature-Mapping Methods for Structural Optimization

    Fabian Wein, Peter Dunning, Julián A. Norato

    math.OCcs.CEarXiv:1910.10770v12019
  24. Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems

    Luo Luo, Haishan Ye, Zhichao Huang +1

    cs.LGmath.OCstat.MLarXiv:2001.03724v22020
  25. Policy Iteration Is Not Strongly Polynomial for Deterministic Markov Decision Processes: The Price of Algorithmic Anarchy

    Han Zhong, Yinyu Ye

    cs.LGcs.DSmath.OCarXiv:2609.40147v12026
  26. A Distributed Newton Method for Network Utility Maximization

    Ermin Wei, Asuman Ozdaglar, Ali Jadbabaie

    math.OCcs.SYeess.SYarXiv:1005.2633v22010
  27. A counterexample to the Hirsch conjecture

    Francisco Santos

    math.COcs.DMmath.OCarXiv:1006.2814v32010
  28. Infinite-Horizon Sparse Optimal Control: Solution through a Finite-Horizon Subproblem and Its Receding-Horizon Implementation

    Yasuaki Oishi, Takumi Iwata, Masaaki Nagahara

    eess.SYcs.SYmath.OCarXiv:2608.17464v12026
  29. Opportunistic Cooperation in Cognitive Femtocell Networks

    Rahul Urgaonkar, Michael J. Neely

    math.OCcs.SYeess.SYarXiv:1103.1401v32011
  30. Stochastic Gradient Push for Distributed Deep Learning

    Mahmoud Assran, Nicolas Loizou, Nicolas Ballas +1

    cs.LGcs.AIcs.DCarXiv:1811.10792v32018
  31. Hierarchical Game-Theoretic Planning for Autonomous Vehicles

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

    cs.ROcs.AIcs.MAarXiv:1810.05766v12018
  32. Convergence of fixed-point continuation algorithms for matrix rank minimization

    Donald Goldfarb, Shiqian Ma

    math.OCcs.ITarXiv:0906.3499v42009
  33. Adaptive Leader-Following Consensus for Multiple Euler-Lagrange Systems with an Uncertain Leader System

    Shimin Wang, Jie Huang

    eess.SYcs.SYmath.OCarXiv:1909.07851v12019
  34. Tidal turbine array optimisation using the adjoint approach

    S. W. Funke, P. E. Farrell, M. D. Piggott

    math.OCcs.CEarXiv:1304.1768v22013
  35. On the suboptimality of stochastic MPC with varying constraint horizon

    Allan Andre Do Nascimento, Andre Bertolace, Antonis Papachristodoulou +1

    math.OCeess.SYarXiv:2608.30017v12026
  36. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

    Benjamin Recht, Maryam Fazel, Pablo A. Parrilo

    math.OCmath.STarXiv:0706.4138v12007
  37. Nonconvex Low-Rank Tensor Completion from Noisy Data

    Changxiao Cai, Gen Li, H. Vincent Poor +1

    cs.LGcs.ITmath.ITarXiv:1911.04436v22019
  38. Dynamic Triggering Mechanisms for Event-Triggered Control

    Antoine Girard

    eess.SYmath.OCarXiv:1301.2182v32013
  39. On Event Triggered Tracking for Nonlinear Systems

    Pavankumar Tallapragada, Nikhil Chopra

    eess.SYmath.OCarXiv:1301.0875v12013
  40. Convex Relaxations and Linear Approximation for Optimal Power Flow in Multiphase Radial Networks

    Lingwen Gan, Steven H. Low

    math.OCarXiv:1406.3054v12014
  41. Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

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

    stat.MLcs.LGmath.AParXiv:2110.11291v52021
  42. EV Dispatch Control for Supplementary Frequency Regulation Considering the Expectation of EV Owners

    Hui Liu, Junjian Qi, Jianhui Wang +3

    math.OCarXiv:1608.04004v22016
  43. A Sufficient Condition for Convergences of Adam and RMSProp

    Fangyu Zou, Li Shen, Zequn Jie +2

    cs.LGcs.CVmath.NAarXiv:1811.09358v32018
  44. Multi-marginal Schrodinger bridges

    Yongxin Chen, Giovanni Conforti, Tryphon T. Georgiou +1

    math.OCmath.PRarXiv:1902.08319v12019
  45. Differentiable Convex Optimization Layers

    Akshay Agrawal, Brandon Amos, Shane Barratt +3

    cs.LGmath.OCstat.MLarXiv:1910.12430v12019
  46. Solving Non-Convex Non-Concave Min-Max Games Under Polyak-{\L}ojasiewicz Condition

    Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee

    math.OCcs.GTcs.LGarXiv:1812.02878v12018
  47. Hamilton-Jacobi formulation for reach-avoid differential games

    Kostas Margellos, John Lygeros

    math.OCarXiv:0911.4625v12009
  48. Global Optimality of Local Search for Low Rank Matrix Recovery

    Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro

    stat.MLcs.LGmath.OCarXiv:1605.07221v22016
  49. Real-Time Local Volt/VAR Control Under External Disturbances with High PV Penetration

    Ankit Singhal, Venkataramana Ajjarapu, Jason. C. Fuller +1

    math.OCarXiv:1710.02551v32017
  50. Is Q-learning Provably Efficient?

    Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck +1

    cs.LGcs.AImath.OCarXiv:1807.03765v12018
  51. Low-rank matrix completion by Riemannian optimization---extended version

    Bart Vandereycken

    math.OCmath.DGmath.NAarXiv:1209.3834v12012
  52. A Fully First-Order Method for Stochastic Bilevel Optimization

    Jeongyeol Kwon, Dohyun Kwon, Stephen Wright +1

    math.OCcs.AIcs.LGarXiv:2301.10945v12023
  53. Linear Coding of LTI Sources Over Vector Gaussian Channels: A Majorization Approach

    Shihao Jin, Junhui Li, Shinji Hara +1

    cs.ITeess.SYmath.OCarXiv:2608.29511v12026
  54. Active Learning for Nonlinear System Identification with Guarantees

    Horia Mania, Michael I. Jordan, Benjamin Recht

    stat.MLcs.LGmath.OCarXiv:2006.10277v12020
  55. Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

    Mark Schmidt, Nicolas Le Roux, Francis Bach

    cs.LGmath.OCarXiv:1109.2415v22011
  56. diffGrad: An Optimization Method for Convolutional Neural Networks

    Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3

    cs.LGcs.CVcs.NEarXiv:1909.11015v42019
  57. Dynamic priority allocation via restless bandit marginal productivity indices

    José Niño-Mora

    math.OCmath.PRarXiv:2304.06115v12023
  58. A Singular Value Thresholding Algorithm for Matrix Completion

    Jian-Feng Cai, Emmanuel J. Candes, Zuowei Shen

    math.OCarXiv:0810.3286v12008
  59. Scalable Second Order Optimization for Deep Learning

    Rohan Anil, Vineet Gupta, Tomer Koren +2

    cs.LGmath.OCstat.MLarXiv:2002.09018v22020
  60. Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion

    Runyu Zhang, Jiawei Zhang, Gioele Zardini +2

    cs.LGcs.AImath.OCarXiv:2608.29507v12026