A near-optimal algorithm for approximating the John Ellipsoid
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Abstract (arXiv)
We develop a simple and efficient algorithm for approximating the John Ellipsoid of a symmetric polytope. Our algorithm is near optimal in the sense that our time complexity matches the current best verification algorithm. We also provide the MATLAB code for further research.
Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 12; 2024: 4; 2025: 2; 2026: 2.
23 papers.
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- 2023Attention Scheme Inspired Softmax Regressioncited by 49
- 2022Contextual Bandits with Large Action Spaces: Made Practicalcited by 32
- 2023Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Timecited by 31
- 2023GradientCoin: A Peer-to-Peer Decentralized Large Language Modelscited by 23
- 2023Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Accelerationcited by 11
- 2023Efficient SGD Neural Network Training via Sublinear Activated Neuron Identificationcited by 11
- 2023Nash Regret Guarantees for Linear Banditscited by 9
- 2023Solving Tensor Low Cycle Rank Approximationcited by 8
- 2023Fast and Efficient Matching Algorithm with Deadline Instancescited by 7
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimizationcited by 7
- 2023Convergence of Two-Layer Regression with Nonlinear Unitscited by 6
- 2022A Faster k-means++ Algorithmcited by 4
11 more
- 2023Tight Bounds for Volumetric Spanners and Applicationscited by 4
- 2025When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?cited by 3
- 2021Fast Graph Neural Tangent Kernel via Kronecker Sketchingcited by 2
- 2025Learning Confidence Ellipsoids and Applications to Robust Subspace Recoverycited by 2
- 2024Quantum Speedup for Spectral Approximation of Kronecker Productscited by 1
- 2024Binary Hypothesis Testing for Softmax Models and Leverage Score Modelscited by 1
- 2024Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walkcited by 1
- 2026Improved Algorithms for Nash Welfare in Linear Banditscited by 1
- 2023Online Adaptive Mahalanobis Distance Estimationcited by 0
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Trainingcited by 0
- 2026Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Modelcited by 0
- 2026Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model18 Jun 2026
- 2026Improved Algorithms for Nash Welfare in Linear Bandits30 Jan 2026
- 2025Learning Confidence Ellipsoids and Applications to Robust Subspace Recovery18 Dec 2025
- 2025When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?24 Feb 2025
- 2024Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk8 Oct 2024
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimization12 Aug 2024
- 2024Binary Hypothesis Testing for Softmax Models and Leverage Score Models9 May 2024
- 2024Quantum Speedup for Spectral Approximation of Kronecker Products10 Feb 2024
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training19 Nov 2023
- 2023Nash Regret Guarantees for Linear Bandits3 Oct 2023
- 2023Tight Bounds for Volumetric Spanners and Applications29 Sep 2023
- 2023Online Adaptive Mahalanobis Distance Estimation2 Sep 2023
11 more
- 2023GradientCoin: A Peer-to-Peer Decentralized Large Language Models21 Aug 2023
- 2023Convergence of Two-Layer Regression with Nonlinear Units16 Aug 2023
- 2023Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification13 Jul 2023
- 2023Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Acceleration15 May 2023
- 2023Fast and Efficient Matching Algorithm with Deadline Instances15 May 2023
- 2023Attention Scheme Inspired Softmax Regression20 Apr 2023
- 2023Solving Tensor Low Cycle Rank Approximation13 Apr 2023
- 2023Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time21 Feb 2023
- 2022A Faster k-means++ Algorithm28 Nov 2022
- 2022Contextual Bandits with Large Action Spaces: Made Practical12 Jul 2022
- 2021Fast Graph Neural Tangent Kernel via Kronecker Sketching4 Dec 2021
- 2023Attention Scheme Inspired Softmax Regressioncited by 49
- 2022Contextual Bandits with Large Action Spaces: Made Practicalcited by 32
- 2023Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Timecited by 31
- 2023GradientCoin: A Peer-to-Peer Decentralized Large Language Modelscited by 23
- 2023Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Accelerationcited by 11
- 2023Efficient SGD Neural Network Training via Sublinear Activated Neuron Identificationcited by 11
- 2023Nash Regret Guarantees for Linear Banditscited by 9
- 2023Solving Tensor Low Cycle Rank Approximationcited by 8
- 2023Fast and Efficient Matching Algorithm with Deadline Instancescited by 7
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimizationcited by 7
- 2023Convergence of Two-Layer Regression with Nonlinear Unitscited by 6
- 2022A Faster k-means++ Algorithmcited by 4
12 most cited of 23 All 23 (JSON)
- 2026Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model18 Jun 2026
- 2026Improved Algorithms for Nash Welfare in Linear Bandits30 Jan 2026
- 2025Learning Confidence Ellipsoids and Applications to Robust Subspace Recovery18 Dec 2025
- 2025When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?24 Feb 2025
- 2024Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk8 Oct 2024
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimization12 Aug 2024
- 2024Binary Hypothesis Testing for Softmax Models and Leverage Score Models9 May 2024
- 2024Quantum Speedup for Spectral Approximation of Kronecker Products10 Feb 2024
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training19 Nov 2023
- 2023Nash Regret Guarantees for Linear Bandits3 Oct 2023
- 2023Tight Bounds for Volumetric Spanners and Applications29 Sep 2023
- 2023Online Adaptive Mahalanobis Distance Estimation2 Sep 2023
12 newest of 23 All 23 (JSON)