Find publications — Åbo Akademi University

Abstract arXiv preprint arXiv:1803.10840, 2018. 31, 2018. Diffusion nets. G Mishne, U Shaham, A Cloninger, S Steinerberger. Experimental Mathematics, 1-11, 2018.

[81]. S. Steinerberger. Hot spots in convex domains are in the tips Hoskins, Stefan Steinerberger, Yuval Kluger. (2017). Efficient Algorithms for t- distributed Stochastic Neighborhood Embedding. (2017) arXiv:1712.09005 (link).

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Aleh Tsyvinski. Working Paper 25821 http://www.nber.org/ papers/w25821. NATIONAL BUREAU OF ECONOMIC RESEARCH. 4 Nov 2013 arXiv:1306.3103v4 [math.MG] 4 Nov 2013 STEFAN STEINERBERGER.

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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. ‪University of Washington, Seattle‬ - ‪‪Cited by 1,211‬‬ - ‪Analysis‬ - ‪Partial Differential Equations‬ - ‪Spectral Theory‬ - ‪Potential Theory‬ - ‪Applied Mathematics‬ Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens: Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations.

I completed my PhD in applied math at Yale in May 2019 under the supervision of Ronald R. Coifman and Stefan Steinerberger. You can find me on the mathematics genealogy project here. During the summer of 2018 I was a mentor for a SUMRY undergraduate research group (see our paper arXiv:1902.06633 below).
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Jianfeng Lu and Stefan Steinerberger, A dimension-free Hermite-Hadamard inequality via gradient estimates for the torsion function, Proc. Amer.

I moved. SIAM Journal on Mathematical Analysis 46 (1), 192-213, 2014.
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Stefan Steinerberger Contact Information mains, arXiv:2103.17187 148. (with O r Lindenbaum), Re ned Least Squares for Support Recovery, arXiv:2103.10949 147. 2018-04-06 · Authors: Jianfeng Lu, Matthias Sachs, Stefan Steinerberger (or arXiv:1804.02327v1 [math.NA] for this version) Submission history There Is No Preview Available For This Item This item does not appear to have any files that can be experienced on Archive.org.

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SIAM Journal on Mathematical Applied and Computational Harmonic Analysis, 2017. (with Stefan Steinerberger) . “Function Driven Diffusion for Personalized Counterfactual Inference.” Arxiv: Cite as: arXiv:1301.3371 [math.AP].

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Cite this article:Lu J, Steinerberger S. 2017 A variation on the and Stefan Steinerberger. 2. 1Department (http://arxiv.org/abs/1608.06604).

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.