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)
1,321 to 1,380 of 1,590
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu, Wei Shi, Jinming Xu +1
math.OCcs.DCcs.MAarXiv:1810.06653v42018Gromov-Monge Flow Matching for Equivariant Graph Generation
Moritz Piening, Christian Wald
cs.LGmath.OCstat.MLarXiv:2608.26961v12026An ISS self-triggered implementation of linear controller
Manuel Mazo, Adolfo Anta, Paulo Tabuada
math.OCarXiv:0906.3588v32009Data-driven Koopman mode approximation: A neural power iteration algorithm
Guillaume O. Berger, Raphaël M. Jungers
eess.SYcs.LGmath.OCarXiv:2608.26943v12026Adversarially-Informed Node Criticality Identification in Power Grid Measurements
Koto Omiloli, Olugbenga Moses Anubi
eess.SYmath.OCarXiv:2608.27393v12026Generalizing Koopman Theory to allow for inputs and control
Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz
math.OCarXiv:1602.07647v12016Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum monotone operators
Patrick L. Combettes, Jean-Christophe Pesquet
math.OCarXiv:1107.0081v22011Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Eric Moulines
cs.LGmath.OCstat.MLarXiv:1306.2119v12013The New Frontier in RAN Heterogeneity: Multi-tier Drone-Cells
Irem Bor-Yaliniz, Halim Yanikomeroglu
cs.NImath.OCarXiv:1604.00381v32016Parallel Multi-Block ADMM with o(1/k) Convergence
Wei Deng, Ming-Jun Lai, Zhimin Peng +1
math.OCarXiv:1312.3040v22013Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback
Bassam Bamieh, Mihailo R. Jovanović, Partha Mitra +1
math.OCcs.MAeess.SYarXiv:1112.4011v12011Relatively-Smooth Convex Optimization by First-Order Methods, and Applications
Haihao Lu, Robert M. Freund, Yurii Nesterov
math.OCarXiv:1610.05708v32016Is Pessimism Provably Efficient for Offline RL?
Ying Jin, Zhuoran Yang, Zhaoran Wang
cs.LGcs.AImath.OCarXiv:2012.15085v32020Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions
Albert Y. S. Lam, Yiu-Wing Leung, Xiaowen Chu
eess.SYmath.OCarXiv:1310.6925v32013X-Armed Bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz +1
cs.LGeess.SYmath.OCarXiv:1001.4475v22010QH-GEM: Quantum-Hydrodynamic Generative Modeling
Harbir Antil, Alex Kaltenbach, Sarswati Shah
math.NAmath-phmath.OCarXiv:2608.27216v12026A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion
Tan Bui-Thanh, Omar Ghattas, James Martin +1
math.NAmath.OCstat.COarXiv:1308.1313v12013On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Hao Yu, Rong Jin, Sen Yang
math.OCcs.LGarXiv:1905.03817v12019Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:1707.04926v32017Online Identification and Tracking of Subspaces from Highly Incomplete Information
Laura Balzano, Robert Nowak, Benjamin Recht
cs.ITeess.SYmath.OCarXiv:1006.4046v22010Global convergence of splitting methods for nonconvex composite optimization
Guoyin Li, Ting Kei Pong
math.OCcs.LGmath.NAarXiv:1407.0753v62014Synchronization in Complex Oscillator Networks and Smart Grids
Florian Dörfler, Michael Chertkov, Francesco Bullo
math.OCmath-phmath.DSarXiv:1208.0045v12012Design and Stability of Load-Side Primary Frequency Control in Power Systems
Changhong Zhao, Ufuk Topcu, Na Li +1
eess.SYmath.OCarXiv:1305.0585v32013Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang +3
cs.LGmath.OCstat.MLarXiv:1903.05662v42019Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou, Yuan Cao, Dongruo Zhou +1
cs.LGcs.AImath.OCarXiv:1811.08888v32018Distributed Nash Equilibrium Seeking by A Consensus Based Approach
Maojiao Ye, Guoqiang Hu
math.OCarXiv:1602.00771v32016Opinion fluctuations and disagreement in social networks
Daron Acemoglu, Giacomo Como, Fabio Fagnani +1
cs.SIeess.SYmath.OCarXiv:1009.2653v42010Multi-view Low-rank Sparse Subspace Clustering
Maria Brbic, Ivica Kopriva
cs.CVcs.LGmath.OCarXiv:1708.08732v12017Deep Hedging
Hans Bühler, Lukas Gonon, Josef Teichmann +1
q-fin.CPmath.NAmath.OCarXiv:1802.03042v12018On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
math.OCcs.LGstat.MLarXiv:1511.05932v12015PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:1905.13727v32019Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu, Deepesh Data, Can Karakus +1
stat.MLcs.DCcs.LGarXiv:1906.02367v22019Correcting Connectivity in Arc-Based QUBO Models for Fixed-Fleet Vehicle Routing
Omer Gurevich, Maor Matityahu, Tal Mor +1
quant-phcs.DSmath.OCarXiv:2608.26894v12026Incentivizing Energy Trading for Interconnected Microgrids
Hao Wang, Jianwei Huang
cs.GTmath.OCarXiv:1609.07576v12016A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou, Li Shen, Zequn Jie +2
cs.LGcs.CVmath.NAarXiv:1811.09358v32018The Ensemble Kalman Filter for Inverse Problems
Marco A. Iglesias, Kody J. H. Law, Andrew M. Stuart
math.OCarXiv:1209.2736v32012Optimal Power Cost Management Using Stored Energy in Data Centers
Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely +1
cs.PFeess.SYmath.OCarXiv:1103.3099v22011Optimization-Based Collision Avoidance
Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
math.OCcs.ROeess.SYarXiv:1711.03449v32017Initialization-free Distributed Algorithms for Optimal Resource Allocation with Feasibility Constraints and its Application to Economic Dispatch of Power Systems
Peng Yi, Yiguang Hong, Feng Liu
math.OCarXiv:1510.08579v22015Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming
Huaguang Zhang, Jilie Zhang, Guang-Hong Yang +1
math.OCarXiv:1711.11419v12017Differentiable MPC for End-to-end Planning and Control
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks +2
cs.LGcs.AImath.OCarXiv:1810.13400v32018Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2012.09816v32020Stochastic model-based minimization of weakly convex functions
Damek Davis, Dmitriy Drusvyatskiy
math.OCcs.LGarXiv:1803.06523v32018Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke, Joshua Achiam, Pieter Abbeel
math.OCcs.AIcs.LGarXiv:2007.03964v12020No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
cs.LGmath.OCstat.MLarXiv:1704.00708v12017The Value of Human Expertise
Bradley Sturt
math.OCcs.AIarXiv:2608.26051v12026iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
Peter Ochs, Yunjin Chen, Thomas Brox +1
cs.CVmath.OCarXiv:1404.4805v12014Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang, Stefanie Jegelka
stat.MLcs.LGmath.OCarXiv:1703.01968v32017SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian +3
cs.LGmath.OCstat.MLarXiv:1901.09401v42019Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani, Yair Carmon, John C. Duchi +3
math.OCcs.ITcs.LGarXiv:1912.02365v22019Solving variational inequalities with Stochastic Mirror-Prox algorithm
Anatoli Juditsky, Arkadii S. Nemirovskii, Claire Tauvel
math.OCmath.STarXiv:0809.0815v22008Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
Fu Lin, Makan Fardad, Mihailo R. Jovanović
math.OCeess.SYarXiv:1111.6188v32011Distributed Control of Positive Systems
Anders Rantzer
math.OCarXiv:1203.0047v32012Parallel Coordinate Descent Methods for Big Data Optimization
Peter Richtárik, Martin Takáč
math.OCcs.AIstat.MLarXiv:1212.0873v22012A Variable Splitting Augmented Lagrangian Approach to Linear Spectral Unmixing
Jose Bioucas-Dias
math.OCarXiv:0904.4635v12009Learning with Submodular Functions: A Convex Optimization Perspective
Francis Bach
cs.LGmath.OCarXiv:1111.6453v22011Consensus Computation in Unreliable Networks: A System Theoretic Approach
Fabio Pasqualetti, Antonio Bicchi, Francesco Bullo
math.OCeess.SYarXiv:1007.2738v42010The Complex Gradient Operator and the CR-Calculus
Ken Kreutz-Delgado
math.OCmath.CVarXiv:0906.4835v12009Distributed Robust Power System State Estimation
Vassilis Kekatos, Georgios B. Giannakis
stat.MLmath.OCarXiv:1204.0991v22012Multiobjective Firefly Algorithm for Continuous Optimization
Xin-She Yang
math.OCarXiv:1303.6336v12013