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A Survey of Recent Scalability Improvements for Semidefinite Programming
  with Applications in Machine Learning, Control, and Robotics

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
ArXivPDFHTML

Papers citing "A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics"

12 / 12 papers shown
Title
Quantum thermodynamics and semi-definite optimization
Quantum thermodynamics and semi-definite optimization
Nana Liu
Michele Minervini
Dhrumil Patel
Mark M. Wilde
21
0
0
07 May 2025
Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep
  Learning Approach
Grasp Force Optimization as a Bilinear Matrix Inequality Problem: A Deep Learning Approach
Hirakjyoti Basumatary
Daksh Adhar
Riddhiman Shaw
S. Hazarika
6
0
0
08 Dec 2023
Rebalancing Social Feed to Minimize Polarization and Disagreement
Rebalancing Social Feed to Minimize Polarization and Disagreement
Federico Cinus
Aristides Gionis
Francesco Bonchi
27
8
0
28 Aug 2023
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Yong Li
CML
37
5
0
23 Dec 2022
Parabolic Relaxation for Quadratically-constrained Quadratic Programming
  -- Part I: Definitions & Basic Properties
Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties
Ramtin Madani
Mersedeh Ashraphijuo
Mohsen Kheirandishfard
Alper Atamtürk
16
1
0
07 Aug 2022
Accelerating Certifiable Estimation with Preconditioned Eigensolvers
Accelerating Certifiable Estimation with Preconditioned Eigensolvers
David M. Rosen
28
4
0
12 Jul 2022
Convex Iteration for Distance-Geometric Inverse Kinematics
Convex Iteration for Distance-Geometric Inverse Kinematics
Matthew Giamou
Filip Marić
David M. Rosen
Valentin Peretroukhin
Nicholas Roy
Ivan Petrović
Jonathan Kelly
18
18
0
08 Sep 2021
Advances in Trajectory Optimization for Space Vehicle Control
Advances in Trajectory Optimization for Space Vehicle Control
Danylo Malyuta
Yue Yu
Purnanand Elango
Behçet Açikmese
13
115
0
05 Aug 2021
Advances in Inference and Representation for Simultaneous Localization
  and Mapping
Advances in Inference and Representation for Simultaneous Localization and Mapping
David M. Rosen
Kevin Doherty
A. Espinoza
J. Leonard
35
64
0
08 Mar 2021
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
33
15
0
27 Sep 2020
Adaptive Regret for Control of Time-Varying Dynamics
Adaptive Regret for Control of Time-Varying Dynamics
Paula Gradu
Elad Hazan
Edgar Minasyan
39
47
0
08 Jul 2020
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D
  Landmarks
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
Heng Yang
Luca Carlone
3DV
11
36
0
27 Nov 2019
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