Stochastics Seminar, Spring 2020

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" Robust Statistical Procedures for Clustering in High Dimensions "

" Wavelet Invariants for Statistically Robust Multi-Reference Alignment "

" Manifold learning on fibre bundles "

" Multi-Representation Manifold Learning on Fibre Bundles "

" Coalescence estimates for the corner growth model with exponential weights "

" Discrete and continuous ranking models "

" Functional inequalities of Infinite swapping algorithm: theory and applications "

" Transport information geometric learning "

" Accelerated Information Gradient flow "

" Analysis of dynamical data "

" Learning interaction laws in agent based systems "

" The stochastic heat equations: hitting probabilities and spatial limit theorems via Malliavin calculus. "

" An Invariance Principle for Barycentric Brownian Bees "

" PDE-Principled Trustworthy Deep Learning Meets Computational Biology "

" Momentum and PDE Techniques for Deep Learning "

" Universality for the time constant in critical first-passage percolation "

" Asymptotic behavior of the stochastic heat equation with Levy noise "

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Questions or comments?
Contact
the organizers: Chris Janjigian and Fei Pu

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**Past Seminars:**

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- Fall 2019 ||
- Fall 2018 || Spring 2019
- Fall 2017 || Spring 2018
- Fall 2016 || Spring 2017
- Fall 2015 || Spring 2016
- Fall 2014 || Spring 2015
- Fall 2013 || Spring 2014
- Fall 2012 || Spring 2013
- Fall 2011 || Spring 2012
- Fall 2010 || Spring 2011
- Fall 2009 || Spring 2010
- Fall 2008 || Spring 2009
- Fall 2007 || Spring 2008
- Fall 2006 || Spring 2007
- Fall 2005 || Spring 2006
- Fall 2004 || Spring 2005
- Fall 2003 || Spring 2003
- Fall 2002 || Spring 2002
- Fall 2001
- Winter 2000
- Fall 1999
- Spring 1998

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