Talks & Presentations

2021

Riemannian Frank-Wolfe Methods with Applications

Oct 25, 2021, INFORMS Annual Meeting

Geometric Methods for Machine Learning and Optimization

Jun 15, 2021, Oxford Data Science Seminar

Riemannian Frank-Wolfe Methods

May 20, 2021, SIAM Conference on Applied Linear Algebra (Minisymposium: Linear Algebra and Differential Geometry)

Geometric Methods for Machine Learning and Optimization

Jan 20, 2021, One World Seminar Series: Mathematics of Machine Learning

Riemannian Frank-Wolfe Methods

Jan 5, 2021, Joint Mathematics Meeting (AMS Special Session: Geometry in the Mathematics of Data Science)

2020

Learning a robust classifier in hyperbolic space

Dec 11, 2020, NeurIPS Workshop Differential Geometry meets Deep Learning

Learning a robust large-margin classifier in hyperbolic space

Nov 5, 2020, Conference on Mathematical Theory of Deep Learning (DeepMath)

Determining Geometric Priors for Representation Learning on Networks

Sep 22, 2020, Conference on Network Sciences (NetSci), 2020

2019

Riemannian Frank-Wolfe Methods

Dec 9, 2019, WiML

2018

Curvature-based Analysis of Complex Network

Aug 28, 2018, NYC Machine Learning and Artificial Intelligence Meetup

Riemannian Frank-Wolfe with Application to the Geometric Matrix Mean

May 15, 2018, Bridging Mathematical Optimization, Information Theory and Data Science

Curvature-based Analysis of Complex Network

Apr 4, 2018, Seminar, Max Planck Institute for Mathematics in the Sciences

Curvature-based Analysis of Complex Network

Mar 28, 2018, EPFL Applied Topology Seminar

2016

Forman-Ricci Curvature for Complex Networks

Nov 8, 2016, Princeton Research Computing Day