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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421 to 480 of 1,592
Data-driven control via Petersen's lemma
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
eess.SYmath.DSmath.OCarXiv:2109.12175v12021Dynamic Average Consensus under Limited Control Authority and Privacy Requirements
Solmaz S. Kia, Jorge Cortes, Sonia Martinez
math.OCarXiv:1401.6463v12014Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems
Laurent El Ghaoui, Vivian Viallon, Tarek Rabbani
cs.LGeess.SYmath.OCarXiv:1009.4219v22010Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
Rodolphe Jenatton, Jim Huang, Cédric Archambeau
stat.MLcs.LGmath.OCarXiv:1512.07422v12015Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Zeyuan Allen-Zhu, Zheng Qu, Peter Richtárik +1
math.OCcs.DSmath.NAarXiv:1512.09103v32015Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
stat.MLcs.DScs.ITarXiv:1509.03917v32015The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban, Umut Şimşekli, Lingjiong Zhu
math.OCcs.LGmath.STarXiv:2006.04740v52020From Data to Decisions: Distributionally Robust Optimization is Optimal
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
math.OCcs.ITarXiv:1704.04118v32017Lower bounds on the size of semidefinite programming relaxations
James R. Lee, Prasad Raghavendra, David Steurer
cs.CCmath.COmath.OCarXiv:1411.6317v12014Hashing with binary autoencoders
Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
cs.LGcs.CVmath.OCarXiv:1501.00756v12015MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang +2
cs.LGeess.SYmath.OCarXiv:1905.09435v32019A proximal method for composite minimization
A. S. Lewis, S. J. Wright
math.OCmath.NAarXiv:0812.0423v22008Simple algorithms for optimization on Riemannian manifolds with constraints
Changshuo Liu, Nicolas Boumal
math.OCarXiv:1901.10000v22019Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data
Roderich Wallrath
math.OCcs.LGarXiv:2608.29690v12026Risk-Sensitive Mean Field Games
Hamidou Tembine, Quanyan Zhu, Tamer Basar
math.OCcs.GTeess.SYarXiv:1210.2806v12012Optimization for deep learning: theory and algorithms
Ruoyu Sun
cs.LGmath.OCstat.MLarXiv:1912.08957v12019Parallel Bayesian Global Optimization of Expensive Functions
Jialei Wang, Scott C. Clark, Eric Liu +1
stat.MLmath.OCarXiv:1602.05149v42016Convergence of multi-block Bregman ADMM for nonconvex composite problems
Fenghui Wang, Wenfei Cao, Zongben Xu
math.OCarXiv:1505.03063v12015Why Random Reshuffling Beats Stochastic Gradient Descent
Mert Gürbüzbalaban, Asuman Ozdaglar, Pablo Parrilo
math.OCarXiv:1510.08560v42015Low-Rank Matrix Completion: A Contemporary Survey
Luong Trung Nguyen, Junhan Kim, Byonghyo Shim
cs.DScs.ITmath.OCarXiv:1907.11705v12019Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
Elham Kiyani, Khemraj Shukla, Jorge F. Urbán +2
cs.LGcs.AImath.OCarXiv:2501.16371v62025A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu, Weitong Zhang, Pan Xu +1
cs.LGmath.OCstat.MLarXiv:2005.01350v32020nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Guofei Pang, Marta D'Elia, Michael Parks +1
math.APcs.LGmath.OCarXiv:2004.04276v12020Linear Coding of LTI Sources Over Vector Gaussian Channels: A Majorization Approach
Shihao Jin, Junhui Li, Shinji Hara +1
cs.ITeess.SYmath.OCarXiv:2608.29511v12026Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI
Kai Tobias Block, Martin Uecker, Jens Frahm
physics.med-phcs.CEmath.OCarXiv:1603.00040v12016Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach
Zhao Chen, Xiaodong Wang
cs.LGeess.SPmath.OCarXiv:1812.07394v12018A note on finite-time and fixed-time stability
Wenlian Lu, Xiwei Liu, Tianping Chen
nlin.AOmath.OCarXiv:1507.07160v32015Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization
Sihan Ge, Yichen Lin, Chenyu Zhou +3
math.OCcs.AIarXiv:2609.05258v12026Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat +1
cs.DCmath.OCarXiv:1303.2837v12013A Smoothed Dual Approach for Variational Wasserstein Problems
Marco Cuturi, Gabriel Peyré
stat.MLmath.OCarXiv:1503.02533v22015Optimization of the Sherrington-Kirkpatrick Hamiltonian
Andrea Montanari
math.PRcond-mat.stat-mechmath.OCarXiv:1812.10897v22018Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets
Bolun Xu, Jinye Zhao, Tongxin Zheng +2
math.OCarXiv:1707.04567v22017Extragradient method with variance reduction for stochastic variational inequalities
Alfredo Iusem, Alejandro Jofré, Roberto I. Oliveira +1
math.OCarXiv:1703.00260v12017Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen, Ali H. Sayed
cs.MAmath.OCarXiv:1208.2503v12012Effect of correlations on network controllability
Márton Pósfai, Yang-Yu Liu, Jean-Jacques Slotine +1
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1203.5161v22012Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy
Seyed Mohsen Kazemi, Ali Movaghar, Shaahin hessabi
math.OCcs.AIeess.SParXiv:2609.00471v12026A Unified Framework for Sparse Relaxed Regularized Regression: SR3
Peng Zheng, Travis Askham, Steven L. Brunton +2
stat.MLcs.LGmath.OCarXiv:1807.05411v42018Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li, Yining Ma, Ruize Gao +4
cs.LGmath.OCarXiv:2110.02629v22021Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang +1
cs.LGmath.OCstat.MLarXiv:1806.00877v42018Natural Compression for Distributed Deep Learning
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath +3
cs.LGmath.OCstat.MLarXiv:1905.10988v32019Linear convergence in optimization over directed graphs with row-stochastic matrices
Chenguang Xi, Van Sy Mai, Ran Xin +2
math.OCarXiv:1611.06160v42016Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems
Guoyin Li, Ting Kei Pong
math.OCstat.MLarXiv:1409.8444v52014Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
Coralia Cartis, Katya Scheinberg
math.OCarXiv:1505.06070v22015B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
Yilin Guan, Shuqing Luo, Pingzhi Li +2
math.OCcs.DCarXiv:2608.28988v12026A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas
stat.MLcs.LGmath.OCarXiv:1506.04209v22015A Backend-Agnostic MWIS Kernel for Stochastic Unit Commitment with Neutral-Atom Hardware Validation
Jiying Chen, Min Lin, Jingwei Wen +2
quant-phcs.ETmath.OCarXiv:2609.01248v12026Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi, Xiuxian Li, Lihua Xie +1
math.OCcs.DCcs.LGarXiv:1903.04277v22019Geometry of Power Flows and Optimization in Distribution Networks
Javad Lavaei, David Tse, Baosen Zhang
math.OCcs.ITeess.SYarXiv:1204.4419v32012A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri +2
cs.LGcs.DCmath.OCarXiv:2003.10422v32020Federated Learning of a Mixture of Global and Local Models
Filip Hanzely, Peter Richtárik
cs.LGcs.DCmath.OCarXiv:2002.05516v32020Numerical methods for nonlocal and fractional models
Marta D'Elia, Qiang Du, Christian Glusa +3
math.NAmath.APmath.OCarXiv:2002.01401v22020Realistic Control of Network Dynamics
Sean P. Cornelius, William L. Kath, Adilson E. Motter
cond-mat.dis-nnmath.OCnlin.AOarXiv:1307.0015v12013The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Rong Ge, Sham M. Kakade, Rahul Kidambi +1
cs.LGmath.OCstat.MLarXiv:1904.12838v22019Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci, Martin J. Wainwright
cs.ITcs.DSmath.OCarXiv:1404.7203v12014Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design
Xiaoxia Xu, Xidong Mu, Zhaolin Wang +2
eess.SPeess.SYmath.OCarXiv:2505.00218v22025Partially Observed Markov Decision Processes. Problem Sets and Internet Supplement
Vikram Krishnamurthy
math.OCarXiv:1604.08127v12016An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems
Radu Ioan Bot, Ernö Robert Csetnek
math.OCmath.FAarXiv:1402.5291v12014Black-Box Reductions for Parameter-free Online Learning in Banach Spaces
Ashok Cutkosky, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1802.06293v22018Algorithms for Overcoming the Curse of Dimensionality for Certain Hamilton-Jacobi Equations Arising in Control Theory and Elsewhere
Jérôme Darbon, Stanley Osher
math.OCarXiv:1605.01799v12016Extremum Seeking Control: Three Revolutions and the Road Ahead
Tiago Roux Oliveira
math.OCeess.SYarXiv:2609.00484v12026