MLSS London 2018. Modern Analysis of kNN (Slides, Part 1 and Part 2)
ICML 2018, Tutorial (with Sanjoy Dasgupta): Understanding Your Neighbors (Slides, Part 1 and Part 2)
Transfer Learning (discrepancy measures, and limits of transfer). (Slides)
Density-based clustering (mode seeking on kNN graphs). (Slides)
Adaptivity (manifold, sparsity, smoothness, noise). (Slides)
Active Learning (regimes of performance under smoothness and noise). (Slides)
Yale, Statistics and Data Science Seminar. October 2020.
Standford, Statistics Seminar. September 2020.
UW-Madison, SILO Seminar. October 2020.
NYU, Courant Institute, Math and Data Seminar (MaD). July 2020.
IAS, Special year on ML, Seminar. March 2020.
UCLA, IPAM Workshop on “Validation and Guarantees in Learning Physical Models:”. November 2019.
University of Michigan, Statistics Seminar. October 2019.
MIT Statistics Seminar. September 2019.
STOC 2019, Workshop on Data Science Through a Geometric Lens. June 2019
UC Davis, Peter Hall Conference. May 19.
Deep Learning Indaba 2019, Nairobi, Kenya. August 2019.
Machine Learning Summer School (MLSS), London. July 2019.
Harvard, Statistics Seminar. October 2018.
MIT, Brain Seminar. October 2018.
ICML 2018 Tutorial on kNN, Stockholm, Sweden. July 2018.
Columbia University, Statistics Seminar. Jan 2018.
Google Research, New York. October 2017.
Cornell University, Center for Applied Mathematics. September 2017.
Daghstul Workshop on Foundations of Unsupervised Learning. September 2016.
Duke University, Fuqua, Decision Sciences. October 2016.
Machine Learning Summer School (MLSS), Cadiz. May 2016.
New York University, Courant Institute. February 2016.
University of Pennsylvania, Wharton School, Statistics Seminar. September 2015.
CIRM Workshop on Mathematical Statistics (Luminy, France). December 2014.
CAL IT2, Information Theory and Applications Workshop. February 2014, 2013, 2017.
Carnegie Mellon University, Statistics Seminar. October 2013.
ETH (Swiss Federal Institute of Technology) Zurich, ML group. April 2013.
Weierstrass Institute for Applied Analysis and Stochastics. November 2011.
Foundations of Computational Mathematics, Learning Theory Workshop. June 2011.