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1908.05209
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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"
30 / 30 papers shown
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SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
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Towards Tight Convex Relaxations for Contact-Rich Manipulation
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Russ Tedrake
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15 Feb 2024
Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep Learning Approach
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08 Dec 2023
Higher-Order Newton Methods with Polynomial Work per Iteration
Advances in Mathematics (Adv. Math.), 2023
Amir Ali Ahmadi
A. Chaudhry
Jeffrey O. Zhang
259
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10 Nov 2023
Rebalancing Social Feed to Minimize Polarization and Disagreement
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Aristides Gionis
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Combining DVL-INS and Laser-Based Loop Closures in a Batch Estimation Framework for Underwater Positioning
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Amro Al-Baali
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214
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10 Jul 2023
Deep Causal Learning for Robotic Intelligence
Frontiers in Neurorobotics (Front. Neurorobot.), 2022
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23 Dec 2022
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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Mersedeh Ashraphijuo
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Alper Atamtürk
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Accelerating Certifiable Estimation with Preconditioned Eigensolvers
IEEE Robotics and Automation Letters (RA-L), 2022
David M. Rosen
214
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12 Jul 2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
IEEE Conference on Decision and Control (CDC), 2022
Anton Xue
Lars Lindemann
Avi Schwarzschild
Hamed Hassani
George J. Pappas
Rajeev Alur
272
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02 Apr 2022
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
Journal of machine learning research (JMLR), 2021
Dimitris Bertsimas
Ryan Cory-Wright
Nicholas A. G. Johnson
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26 Sep 2021
Computing Funnels Using Numerical Optimization Based Falsifiers
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Jiří Fejlek
Stefan Ratschan
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Convex Iteration for Distance-Geometric Inverse Kinematics
IEEE Robotics and Automation Letters (RA-L), 2021
Matthew Giamou
Filip Marić
David M. Rosen
Valentin Peretroukhin
Nicholas Roy
Ivan Petrović
Jonathan Kelly
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Advances in Trajectory Optimization for Space Vehicle Control
Annual Reviews in Control (ARC), 2021
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Yue Yu
Purnanand Elango
Behçet Açikmese
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Advances in Inference and Representation for Simultaneous Localization and Mapping
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Kevin Doherty
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Fast semidefinite programming with feedforward neural networks
Tamás Kriváchy
Yu Cai
Joseph Bowles
D. Cavalcanti
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Riemannian Langevin Algorithm for Solving Semidefinite Programs
Mufan Li
Murat A. Erdogdu
513
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21 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
IEEE Access (IEEE Access), 2020
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
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277
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27 Sep 2020
Learning Dynamical Systems with Side Information
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Bachir El Khadir
287
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Adaptive Regret for Control of Time-Varying Dynamics
Conference on Learning for Dynamics & Control (L4DC), 2020
Paula Gradu
Elad Hazan
Edgar Minasyan
434
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Hyperbolic Distance Matrices
Puoya Tabaghi
Ivan Dokmanić
211
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18 May 2020
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
IEEE Transactions on Automatic Control (TAC), 2020
Quan-Gen Zhou
Jakub Mareˇcek
560
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04 Feb 2020
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
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Heng Yang
Luca Carlone
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Learning chordal extensions
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