Recent Conference Talks
Workshop on Video Large Language Models
CVPR 2025 Workshops, Nashville, TN
June 2025
Invited Talk, 2nd Workshop on Foundation Models in the Wild
ICLR 2025 Workshop, Singapore
April 2025
Learning Dynamics of Overparametrized Networks
UPenn Optimization Seminar, Philadelphia, PA
January 2024
Distinguished Lectures and Keynotes
Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond
Plenary Lecture, Mathematical Foundations of Data Science Workshop, University of Minnesota
2017
Global Optimality in Matrix/Tensor Factorization, Deep Learning, and Beyond
Distinguished Lecture, Boston University Data Science Initiative
2017
Global Optimality in Matrix Factorization and Deep Learning
Distinguished Lecture, Boston University Data Science Institute
2016
Global Optimality in Matrix Factorization and Deep Learning
Keynote, Workshop on Optimization for Machine Learning, NIPS
2016
Global Optimality in Neural Network Training
Plenary Lecture, SIAM Conference on Applied Algebraic Geometry
2015
Subspace Clustering
J.K. Aggarwal Prize Plenary Lecture, International Conference on Pattern Recognition (ICPR)
2012
Sparse Subspace Clustering
Keynote, Workshop on Structured Sparsity, ICML
2011
Generalized Principal Component Analysis
Keynote, International Workshop on Subspace Methods
2009
Invited Talks at Workshops, Tutorials, and Summer Schools
Deep Learning Theory: Optimization, Generalization, and Beyond
Université Paris-Saclay, France
2019
Theory of Deep Learning
KAUST Workshop on Deep Learning, Saudi Arabia
2019
Global Optimality in Deep Learning
Tutorial, CVPR
2018
Subspace Clustering: Algorithms, Theory and Applications
Tutorial, CVPR
2016
Analysis and Interpretation of Biomedical Data
Johns Hopkins University
2015
An Introduction to Generalized Principal Component Analysis
Summer School on Computer Vision, ENS Cachan, France
2014
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Workshop on Sparsity and Computation, Caltech
2013
Modeling and Clustering of Dynamic Scenes
Carnegie Mellon University
2011
Generalized Principal Component Analysis
University of Michigan, Ann Arbor
2009
Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix
Tutorial, ECCV Workshop on Dynamical Vision
2006
Algebraic Geometric Methods in Computer Vision
Summer School on Image Processing, Duke University
2005
Identification of Hybrid Systems: A Tutorial
Workshop on Hybrid Systems, European Control Conference
2004
Observability and Identifiability of Jump Linear Systems
CDC, Maui, HI
2003
Two-View Multibody Structure from Motion
UC San Diego, La Jolla, CA
2001