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.
Search paper metadata (including unsummarized papers)
1,741 to 1,800 of 2,617
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:2005.05409v22020Universal Quantum Control through Deep Reinforcement Learning
Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskiy +1
quant-phmath.OCarXiv:1803.01857v22018Batch Policy Learning under Constraints
Hoang M. Le, Cameron Voloshin, Yisong Yue
cs.LGcs.AImath.OCarXiv:1903.08738v12019Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed, Maziar Sanjabi, Tianjian Huang +2
math.OCcs.LGstat.MLarXiv:1902.08297v32019Model 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:2609.08708v12026Age of Information: Whittle Index for Scheduling Stochastic Arrivals
Yu-Pin Hsu
math.OCcs.ITcs.NIarXiv:1801.03422v22018Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias B. Khalil +3
cs.LGmath.OCstat.MLarXiv:2006.15212v32020Tropical polyhedra are equivalent to mean payoff games
Marianne Akian, Stephane Gaubert, Alexander Guterman
math.COmath.OCarXiv:0912.2462v32009Optimal Sensor and Actuator Placement in Complex Dynamical Networks
Tyler H. Summers, John Lygeros
math.OCcs.SYeess.SYarXiv:1306.2491v22013Influence of Initialization on the Performance of Metaheuristic Optimizers
Qian Li, San-Yang Liu, Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03789v12020Importance Sampling for Minibatches
Dominik Csiba, Peter Richtárik
cs.LGmath.OCstat.MLarXiv:1602.02283v12016Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems
Gesualdo Scutari, Francisco Facchinei, Peiran Song +2
cs.ITmath.OCarXiv:1302.0756v22013Using Underapproximations for Sparse Nonnegative Matrix Factorization
Nicolas Gillis, François Glineur
math.OCarXiv:0902.1060v22009On Biased Compression for Distributed Learning
Aleksandr Beznosikov, Samuel Horváth, Peter Richtárik +1
cs.LGcs.DCmath.OCarXiv:2002.12410v42020Optimal Homologous Cycles, Total Unimodularity, and Linear Programming
Tamal K. Dey, Anil N. Hirani, Bala Krishnamoorthy
math.ATcs.CGcs.DSarXiv:1001.0338v32010Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li, Dmitry Kovalev, Xun Qian +1
math.OCcs.DCcs.LGarXiv:2002.11364v22020Convergence rates of efficient global optimization algorithms
Adam D. Bull
stat.MLmath.OCmath.STarXiv:1101.3501v32011Pathwise coordinate optimization
Jerome Friedman, Trevor Hastie, Holger Höfling +1
stat.COmath.OCarXiv:0708.1485v22007Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky, Harsh Mehta, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:2302.03775v32023Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann Dauphin, Razvan Pascanu, Caglar Gulcehre +3
cs.LGmath.OCstat.MLarXiv:1406.2572v12014Near-Optimal Algorithms for Minimax Optimization
Tianyi Lin, Chi Jin, Michael. I. Jordan
math.OCcs.LGstat.MLarXiv:2002.02417v62020Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Jaynta Mandi, Emir Demirović, Peter. J Stuckey +1
cs.LGcs.AImath.OCarXiv:1911.10092v12019A Review on Feature-Mapping Methods for Structural Optimization
Fabian Wein, Peter Dunning, Julián A. Norato
math.OCcs.CEarXiv:1910.10770v12019Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Zhichao Huang +1
cs.LGmath.OCstat.MLarXiv:2001.03724v22020Policy Iteration Is Not Strongly Polynomial for Deterministic Markov Decision Processes: The Price of Algorithmic Anarchy
Han Zhong, Yinyu Ye
cs.LGcs.DSmath.OCarXiv:2609.40147v12026A Distributed Newton Method for Network Utility Maximization
Ermin Wei, Asuman Ozdaglar, Ali Jadbabaie
math.OCcs.SYeess.SYarXiv:1005.2633v22010A counterexample to the Hirsch conjecture
Francisco Santos
math.COcs.DMmath.OCarXiv:1006.2814v32010Infinite-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:2608.17464v12026Opportunistic Cooperation in Cognitive Femtocell Networks
Rahul Urgaonkar, Michael J. Neely
math.OCcs.SYeess.SYarXiv:1103.1401v32011Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas +1
cs.LGcs.AIcs.DCarXiv:1811.10792v32018Hierarchical Game-Theoretic Planning for Autonomous Vehicles
Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3
cs.ROcs.AIcs.MAarXiv:1810.05766v12018Convergence of fixed-point continuation algorithms for matrix rank minimization
Donald Goldfarb, Shiqian Ma
math.OCcs.ITarXiv:0906.3499v42009Adaptive Leader-Following Consensus for Multiple Euler-Lagrange Systems with an Uncertain Leader System
Shimin Wang, Jie Huang
eess.SYcs.SYmath.OCarXiv:1909.07851v12019Tidal turbine array optimisation using the adjoint approach
S. W. Funke, P. E. Farrell, M. D. Piggott
math.OCcs.CEarXiv:1304.1768v22013On the suboptimality of stochastic MPC with varying constraint horizon
Allan Andre Do Nascimento, Andre Bertolace, Antonis Papachristodoulou +1
math.OCeess.SYarXiv:2608.30017v12026Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
math.OCmath.STarXiv:0706.4138v12007Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor +1
cs.LGcs.ITmath.ITarXiv:1911.04436v22019Dynamic Triggering Mechanisms for Event-Triggered Control
Antoine Girard
eess.SYmath.OCarXiv:1301.2182v32013On Event Triggered Tracking for Nonlinear Systems
Pavankumar Tallapragada, Nikhil Chopra
eess.SYmath.OCarXiv:1301.0875v12013Convex Relaxations and Linear Approximation for Optimal Power Flow in Multiphase Radial Networks
Lingwen Gan, Steven H. Low
math.OCarXiv:1406.3054v12014Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
stat.MLcs.LGmath.AParXiv:2110.11291v52021EV Dispatch Control for Supplementary Frequency Regulation Considering the Expectation of EV Owners
Hui Liu, Junjian Qi, Jianhui Wang +3
math.OCarXiv:1608.04004v22016A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou, Li Shen, Zequn Jie +2
cs.LGcs.CVmath.NAarXiv:1811.09358v32018Multi-marginal Schrodinger bridges
Yongxin Chen, Giovanni Conforti, Tryphon T. Georgiou +1
math.OCmath.PRarXiv:1902.08319v12019Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt +3
cs.LGmath.OCstat.MLarXiv:1910.12430v12019Solving Non-Convex Non-Concave Min-Max Games Under Polyak-{\L}ojasiewicz Condition
Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee
math.OCcs.GTcs.LGarXiv:1812.02878v12018Hamilton-Jacobi formulation for reach-avoid differential games
Kostas Margellos, John Lygeros
math.OCarXiv:0911.4625v12009Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
stat.MLcs.LGmath.OCarXiv:1605.07221v22016Real-Time Local Volt/VAR Control Under External Disturbances with High PV Penetration
Ankit Singhal, Venkataramana Ajjarapu, Jason. C. Fuller +1
math.OCarXiv:1710.02551v32017Is Q-learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck +1
cs.LGcs.AImath.OCarXiv:1807.03765v12018Low-rank matrix completion by Riemannian optimization---extended version
Bart Vandereycken
math.OCmath.DGmath.NAarXiv:1209.3834v12012A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright +1
math.OCcs.AIcs.LGarXiv:2301.10945v12023Linear Coding of LTI Sources Over Vector Gaussian Channels: A Majorization Approach
Shihao Jin, Junhui Li, Shinji Hara +1
cs.ITeess.SYmath.OCarXiv:2608.29511v12026Active Learning for Nonlinear System Identification with Guarantees
Horia Mania, Michael I. Jordan, Benjamin Recht
stat.MLcs.LGmath.OCarXiv:2006.10277v12020Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas Le Roux, Francis Bach
cs.LGmath.OCarXiv:1109.2415v22011diffGrad: An Optimization Method for Convolutional Neural Networks
Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3
cs.LGcs.CVcs.NEarXiv:1909.11015v42019Dynamic priority allocation via restless bandit marginal productivity indices
José Niño-Mora
math.OCmath.PRarXiv:2304.06115v12023A Singular Value Thresholding Algorithm for Matrix Completion
Jian-Feng Cai, Emmanuel J. Candes, Zuowei Shen
math.OCarXiv:0810.3286v12008Scalable Second Order Optimization for Deep Learning
Rohan Anil, Vineet Gupta, Tomer Koren +2
cs.LGmath.OCstat.MLarXiv:2002.09018v22020Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion
Runyu Zhang, Jiawei Zhang, Gioele Zardini +2
cs.LGcs.AImath.OCarXiv:2608.29507v12026