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A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
14 August 2019
Anirudha Majumdar
G. Hall
Amir Ali Ahmadi
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Papers citing
"A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics"
29 / 29 papers shown
Title
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Higher-Order Newton Methods with Polynomial Work per Iteration
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Rebalancing Social Feed to Minimize Polarization and Disagreement
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Combining DVL-INS and Laser-Based Loop Closures in a Batch Estimation Framework for Underwater Positioning
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Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part II: Theoretical & Computational Results
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Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties
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Accelerating Certifiable Estimation with Preconditioned Eigensolvers
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Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
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Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
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Ryan Cory-Wright
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Computing Funnels Using Numerical Optimization Based Falsifiers
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Stefan Ratschan
31
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Convex Iteration for Distance-Geometric Inverse Kinematics
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Filip Marić
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133
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Advances in Trajectory Optimization for Space Vehicle Control
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Yue Yu
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Advances in Inference and Representation for Simultaneous Localization and Mapping
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Kevin Doherty
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114
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Fast semidefinite programming with feedforward neural networks
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Yu Cai
Joseph Bowles
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N. Brunner
63
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Riemannian Langevin Algorithm for Solving Semidefinite Programs
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Murat A. Erdogdu
118
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Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
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Zohaib Ijaz
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Adaptive Regret for Control of Time-Varying Dynamics
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Hyperbolic Distance Matrices
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64
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Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
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Jakub Mareˇcek
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In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
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Luca Carlone
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Learning chordal extensions
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Andrea Lodi
Mathieu Tanneau
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16 Oct 2019
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