Yoav Zemel
I am Bernoulli Instructor at EPFL, and I work on statistical aspects of optimal transport.
EPFL SB MATH, Station 8, CH-1015 Lausanne.
Room CM 1618 (Bâtiment MA)
firstname.lastname@epfl.ch
+41 21 693 73 38
| 2007-2010 | B.Sc. in mathematics and economics, Hebrew University of Jerusalem, summa cum laude |
| 2010-2012 | M.Sc. in applied mathematics, orientated in Statistics and Financial Mathematics, École polytechnique fédérale de Lausanne |
| 2012-2017 | PhD, École polytechnique fédérale de Lausanne, advised by Professor Victor M. Panaretos |
| 2017 | Postdoctoral researcher, École polytechnique fédérale de Lausanne |
| 2018-2019 | SNSF Early Postdoc.Mobility Fellow, Georg-August-Universität Göttingen, mentored by Professor Axel Munk |
| 2019-2022 | Research Associate, Statistical Laboratory, University of Cambridge, mentored by Professor Richard Samworth |
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Panaretos, V. M. & Zemel, Y. (2020) |
Masarotto, V., Panaretos, V. M., & Zemel, Y. (2022+)
Transportation-Based Functional ANOVA and PCA for Covariance Operators.
Preprint
Heinemann, F., Munk, A., & Zemel, Y. (2022)
Randomised Wasserstein barycenter computation: Resampling with statistical guarantees.
SIAM Journal of Mathematics of Data Science 4(1):229-259. The accompanying R package WSGeometry is available from CRAN
Klatt, M., Munk, A., & Zemel, Y. (2022)
Limit laws for empirical optimal solutions in stochastic linear programs.
Annals of Operations Research 315:251-278
Galasso, B., Zemel, Y. & de Carvalho, M. (2018+)
Bayesian semiparametric modelling of phase-varying point processes.
Electronic Journal of Statistics 16(1):2518--2549. The accompanying R package Rmpp is available from GitHub
Zemel, Y. & Panaretos, V. M. (2019)
Fréchet Means and Procrustes Analysis in Wasserstein Space.
Bernoulli 25(2):932-976
Masarotto, V., Panaretos, V. M. & Zemel, Y. (2019)
Procrustes metrics on covariance operators and optimal transportation of Gaussian processes.
Invited paper, Special Issue on Manifold Statistics, Sankhya A 81(1):172-213
Panaretos, V. M. & Zemel, Y. (2019)
Statistical Aspects of Wasserstein Distances.
Annual Review of Statistics and its Applications 6:405-431
Sommerfeld, M., Schrieber, J., Zemel, Y. & Munk, A. (2019)
Optimal Transport: Fast probabilistic Approximation with Exact Solvers.
Journal of Machine Learning Research 20(105):1-23
Henshaw, J. M. & Zemel, Y. (2017)
A unified measure of linear and nonlinear selection on quantitative traits.
Methods in Ecology and Evolution 8(5):604-614
This paper won the Robert May Prize, awarded to the first author by convention.
R code available on GitHub
Panaretos, V. M. & Zemel, Y. (2016)
Amplitude and phase variation of point processes.
The Annals of Statistics 44(2):771-812
The accompanying R package Rmpp is available from GitHub
Zemel, Y. (2020)
Discussion on "Functional models for time-varying random objects" by P. Dubey & H.-G. Müller.
Journal of the Royal Statistical Society, Series B 82(2):316
September 2018: Stochastisches Praktikum, an R lab course for 3rd year B.Sc. students, G\"ottingen, Germany
Lent 2020: Topics in Statistical Theory
February 2021: Short course on optimal transport at the Swiss Doctoral School in Statistics and Applied Probability (online)
September 2022: Short course on optimal transport at YES workshop, Eindhoven, the Netherlands
Spring 2023: Statistics for mathematicians