Spectral methods have proven to be a highly effective tool in understanding the intrinsic geometry of a high-dimensional data set $\left\{x_i
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2021-03-30 · arxiv 2101.07395. (with Ofir Lindenbaum, Gal Mishne, and Ronen Talmon) Kernel-based parameter estimation of dynamical systems with unknown observation functions, accepted to Chaos, arxiv 2009.04142. (with Stefan Steinerberger) Assistant Professor: Office: 456 DL: Phone: 203-432-4689: Fax: 203-432-7316: Email: stefan.steinerberger@yale.edu A joint seminar series covering a wide variety of topics in applied mathematics, PDEs, and scientific computation. Stefan Steinerberger studies Modulation, Communication Theories, and System Engineering. Stefan Steinerberger, A short note on integer complexity, Contributions to Discrete Mathematics, Vol. 9.1 (2014).
arXiv:1904.13276v1 [econ.TH] 30 Apr 2019 Tax Mechanisms and Gradient Flows Stefan Steinerberger∗ Yale University Aleh Tsyvinski Yale University† May1,2019 Abstract We demonstrate how a static optimal income taxation problem can be analyzed using dynamical methods. Specifically, we show that the taxation problem is intimately connected arXiv.org > math > arXiv:1403.7988v3 Authors: Alexander Cloninger, Stefan Steinerberger (Submitted on 31 Mar 2014 , last revised 22 Apr 2016 (this version, v3)) arXiv:1307.2069v5 [math.CA] 1 Jul 2014 ON THE CURVATURE OF LEVEL SETS OF HARMONIC FUNCTIONS STEFAN STEINERBERGER Abstract. If a real harmonic function inside the open unit disk B(0,1) ⊂ R2 has its level set {x : u(x) = u(0)} diffeomorphic to an interval, then we prove the sharp bound κ ≤ 8 on the arXiv:1403.7988v1 [math.CO] 31 Mar 2014 ON SUPREMA OF AUTOCONVOLUTIONS WITH AN APPLICATION TO SIDON SETS STEFAN STEINERBERGER Abstract. Let f be a nonnegative function supported on the interval (−1/4,1/4) satisfying R1/4 −1/4 f(x)dx= 1. The best constant in the inequality sup x∈R Z R f(t)f(x− t)dt≥ c Authors: Adela DePavia, Stefan Steinerberger (Submitted on 22 Mar 2020) Abstract: We are interested in the clustering problem on graphs: it is known that if there are two underlying clusters, then the signs of the eigenvector corresponding to the second largest eigenvalue of the adjacency matrix can reliably reconstruct the two clusters.
Derivatives of Solutions of the Heat Equation in Bounded Domains. Steinerberger, Stefan arXiv e-prints. Pub Date: February 2021; arXiv: arXiv: 2102.02736
arXiv:1707.02418v1 [cs.GT] 8 Jul 2017 STABILITY, FAIRNESS AND RANDOM WALKS IN Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens: Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations. CoRR abs/1902.05804 ( 2019 ) There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org. University of Washington, Seattle - Cited by 1,211 - Analysis - Partial Differential Equations - Spectral Theory - Potential Theory - Applied Mathematics There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org. Jianfeng Lu and Stefan Steinerberger, A dimension-free Hermite-Hadamard inequality via gradient estimates for the torsion function, Proc.
Stefan Steinerberger, A short note on integer complexity, Contributions to Discrete Mathematics, Vol. 9.1 (2014). [Cached copy, with permission.] Venecia Wang, A counterexample to the prime conjecture of expressing numbers using just ones, Journal of Number Theory, submitted.
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University of Washington Department of Mathematics Seattle, WA 98195.
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We present Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org. 2021-03-19 · We study the problem of exact support recovery based on noisy observations and present Refined Least Squares (RLS).
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View linderman&steinerberger.pdf from MATH 6740 at Cornell University. CLUSTERING WITH T-SNE, PROVABLY.
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Jianfeng Lu and Stefan Steinerberger, A dimension-free Hermite-Hadamard inequality via gradient estimates for the torsion function, Proc. Amer. Math. Soc. [arXiv:1905.03216] Ke Chen, Qin Li, Jianfeng Lu, and Stephen J. Wright, Randomized sampling for basis functions construction in generalized finite element methods , Multiscale Model.
Aleh Tsyvinski. Yale University - Cowles Jose Arnaldo Bebita Dris, A Criterion for Deficient Numbers Using the Abundancy Index and Deficiency Functions, arXiv:1308.6767 [math.NT], 2013-2016; Journal for Algebra and Number Theory Academia, Volume 8, Issue 1 (February 2018), 1-9. Walter Nissen, Abundancy : Some Resources 4 days ago Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger: Randomized near-neighbor graphs, giant components and PhD in applied math at Yale in May 2019 under the supervision of Ronald R. Coifman and Stefan Steinerberger.
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2015-07-01 · Donate to arXiv. Please join the From: Stefan Steinerberger Wed, 1 Jul 2015 15:41:19 UTC (165 KB) Sun, 13 Sep 2015 21
(with Ofir Lindenbaum, Gal Mishne, and Ronen Talmon) Kernel-based parameter estimation of dynamical systems with unknown observation functions, accepted to Chaos, arxiv 2009.04142.