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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781 to 840 of 1,592
Generalized Semi-Infinite Programming for Robust Optimal Control with Decision-Dependent Uncertainty
J. Wehbeh, E. C. Kerrigan, E. Scaccia
math.OCeess.SYarXiv:2609.01538v12026Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan, Shiqian Ma, Yu-Hong Dai +1
math.OCcs.LGstat.MLarXiv:1605.04131v22016DOFFO_TR: a Decentralized Objective Function-Free Optimization method with Trust-Region
Stefania Bellavia, Greta Malaspina, Benedetta Morini
math.OCmath.NAarXiv:2609.00878v12026$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations
Soummya Kar, Jose' M. F. Moura, H. Vincent Poor
stat.MLcs.LGcs.MAarXiv:1205.0047v22012Multiobjective Robust Control with HIFOO 2.0
Suat Gumussoy, Didier Henrion, Marc Millstone +1
math.OCarXiv:0905.3229v22009Factoring nonnegative matrices with linear programs
Victor Bittorf, Benjamin Recht, Christopher Re +1
math.OCcs.LGstat.MLarXiv:1206.1270v22012On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1810.12065v42018Disciplined Bilevel Programming
Hao Zhu, Joschka Boedecker
math.OCcs.CEcs.LGarXiv:2609.00644v12026Capacity Characterization of UAV-Enabled Two-User Broadcast Channel
Qingqing Wu, Jie Xu, Rui Zhang
cs.ITmath.HOmath.OCarXiv:1801.00443v22018Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications
David L. Donoho, Jared Tanner
math.MGcs.ITmath.OCarXiv:0807.3590v12008Nonlinear Model Predictive Control for Constrained Output Path Following
Timm Faulwasser, Rolf Findeisen
eess.SYmath.OCarXiv:1502.02468v12015Parsimonious shooting heuristic for trajectory control of connected automated traffic part I: Theoretical analysis with generalized time geography
Fang Zhou, Xiaopeng Li, Jiaqi Ma
math.OCeess.SYarXiv:1511.04810v12015Optimal Control of Vehicular Formations with Nearest Neighbor Interactions
Fu Lin, Makan Fardad, Mihailo R. Jovanović
math.OCcs.MAeess.SYarXiv:1112.4113v12011Greedy Sparsity-Constrained Optimization
Sohail Bahmani, Bhiksha Raj, Petros Boufounos
stat.MLmath.NAmath.OCarXiv:1203.5483v32012Distributed Learning with Compressed Gradient Differences
Konstantin Mishchenko, Eduard Gorbunov, Martin Takáč +1
cs.LGmath.OCstat.MLarXiv:1901.09269v32019Multi-Robot Control Using Time-Varying Density Functions
Sung G. Lee, Magnus Egerstedt
math.OCcs.ROarXiv:1404.0338v12014Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
Giuseppe C. Calafiore
eess.SYcs.LGmath.OCarXiv:2609.01355v12026Dual decomposition for multi-agent distributed optimization with coupling constraints
Alessandro Falsone, Kostas Margellos, Simone Garatti +1
math.OCarXiv:1607.00600v22016Non-linear Symmetry-preserving Observer on Lie Groups
S. Bonnabel, P. Martin, P. Rouchon
math.OCarXiv:0707.2286v22007Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Zhifang Zhan, Jian-Feng Cai, Di Guo +3
cs.CVmath.OCphysics.med-pharXiv:1503.02945v22015Linear tracking MPC for nonlinear systems Part II: The data-driven case
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
math.OCeess.SYarXiv:2105.08567v42021Turnpike properties in nonlinear system identification
Julian D. Schiller, Matthias A. Müller
eess.SYmath.OCarXiv:2609.02071v12026Phase Retrieval Under a Generative Prior
Paul Hand, Oscar Leong, Vladislav Voroninski
cs.ITcs.LGmath.OCarXiv:1807.04261v12018Efficient Algorithms for Smooth Minimax Optimization
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli +1
math.OCcs.LGstat.MLarXiv:1907.01543v12019Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz
cs.LGmath.OCarXiv:1507.02030v32015DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery +5
cs.LGmath.OCstat.MLarXiv:2106.03760v32021Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak, Benjamin L. Edelman, Surbhi Goel +3
cs.LGcs.NEmath.OCarXiv:2207.08799v32022Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-Zhu, Yang Yuan
cs.LGcs.DSmath.OCarXiv:1506.01972v32015Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber, Elad Hazan
math.OCcs.LGarXiv:1406.1305v22014Geometric Analysis of the Formation Problem for Autonomous Robots
Florian Dorfler, Bruce Francis
math.OCmath.DSarXiv:1001.4494v12010Discrete Time Mean-Field Stochastic Linear-Quadratic Optimal Control Problems
Robert. J Elliott, Xun Li, Yuan-Hua Ni
math.OCarXiv:1302.6416v22013Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
cs.LGmath.OCstat.MLarXiv:1909.02769v22019Stochastic Unit Commitment in Low-Inertia Grids
Matthieu Paturet, Uros Markovic, Stefanos Delikaraoglou +3
math.OCarXiv:1904.03030v12019Stochastic Optimization Using a Trust-Region Method and Random Models
Ruobing Chen, Matt Menickelly, Katya Scheinberg
math.OCarXiv:1504.04231v22015ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Konstantin Mishchenko, Grigory Malinovsky, Sebastian Stich +1
cs.LGmath.OCarXiv:2202.09357v22022Likelihood Robust Optimization for Data-driven Problems
Zizhuo Wang, Peter Glynn, Yinyu Ye
math.OCarXiv:1307.6279v32013Tidal turbine array optimisation using the adjoint approach
S. W. Funke, P. E. Farrell, M. D. Piggott
math.OCcs.CEarXiv:1304.1768v22013Distributed Basis Pursuit
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar +1
math.OCcs.ITeess.SYarXiv:1009.1128v32010Copula Transformations for Data-Consistent Inversion
Troy Butler, Tianyi Jiang, João Silva +2
stat.MLmath.OCmath.PRarXiv:2609.02832v12026On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1209.2388v32012Distributed optimization of deeply nested systems
Miguel Á. Carreira-Perpiñán, Weiran Wang
cs.LGcs.NEmath.OCarXiv:1212.5921v12012Combining Convex-Concave Decompositions and Linearization Approaches for solving BMIs, with application to Static Output Feedback
Quoc Tran Dinh, Suat Gumussoy, Wim Michiels +1
math.OCeess.SYarXiv:1109.3320v12011Federated Accelerated Stochastic Gradient Descent
Honglin Yuan, Tengyu Ma
cs.LGcs.DCmath.OCarXiv:2006.08950v42020Minimal Actuator Placement with Bounds on Control Effort
V. Tzoumas, M. A. Rahimian, G. J. Pappas +1
math.OCcs.MAeess.SYarXiv:1409.3289v52014Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari +1
cs.CVmath.OCarXiv:1705.08983v32017Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
eess.SYcs.AIcs.NEarXiv:1611.09755v12016Clarabel: An interior-point solver for conic programs with quadratic objectives
Paul J. Goulart, Yuwen Chen
math.OCarXiv:2405.12762v12024Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer +1
cs.LGmath.OCstat.MLarXiv:2409.08861v52024Asymptotic convergence of constrained primal-dual dynamics
Ashish Cherukuri, Enrique Mallada, Jorge Cortes
math.OCarXiv:1510.02150v12015Lower complexity bounds of first-order methods for convex-concave bilinear saddle-point problems
Yuyuan Ouyang, Yangyang Xu
math.OCarXiv:1808.02901v12018Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely, Slavomír Hanzely, Samuel Horváth +1
cs.LGcs.DCmath.OCarXiv:2010.02372v12020FedSplit: An algorithmic framework for fast federated optimization
Reese Pathak, Martin J. Wainwright
cs.LGmath.OCstat.MLarXiv:2005.05238v12020EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin
cs.LGmath.OCstat.MLarXiv:2106.05203v12021Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik +1
math.OCcs.CVmath.NAarXiv:1706.04957v22017Iteration Complexity Analysis of Block Coordinate Descent Methods
Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn +1
math.OCstat.MEarXiv:1310.6957v22013Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel +2
stat.MLcs.LGmath.OCarXiv:1303.5145v42013Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization
Constantinos Daskalakis, Ioannis Panageas
math.OCcs.GTstat.MLarXiv:1807.04252v52018Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang +1
cs.LGcs.AImath.OCarXiv:1910.03016v42019A simple derivation of the Kalman filter
Marco Chiani, Giovanni Petris, Moe Z. Win
math.OCeess.SPeess.SYarXiv:2609.02332v12026The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue, Ian Osband, Remi Munos +1
cs.AIcs.LGmath.OCarXiv:1709.05380v42017