Courses

Spring 2024

IDS.160/9.521/18.656/6.S988: Mathematical Statistics: A Non-Asymptotic Approach

MIT, IDSS/BCS/MATH/EECS

Spring 2023

IDS.160/9.521/18.656: Mathematical Statistics: A Non-Asymptotic Approach

MIT, IDSS/BCS/MATH

Spring 2022

IDS.160/9.521/18.656: Mathematical Statistics: A Non-Asymptotic Approach

MIT, IDSS/BCS/MATH

Spring 2021

IDS.160/9.521/18.656: Mathematical Statistics: A Non-Asymptotic Approach

MIT, IDSS/BCS/MATH

Spring 2020

IDS.160/9.521/18.S998: Mathematical Statistics: A Non-Asymptotic Approach

MIT, IDSS/BCS/MATH

Fall 2019

9.520/6.860: Statistical Learning Theory and Applications

MIT, BCS/EECS

Spring 2019
Fall 2018

9.520/6.860: Statistical Learning Theory and Applications

MIT, BCS/EECS

Winter 2018

STAT 405/705: Statistical Computing with R

University of Pennsylvania, Department of Statistics

Spring 2017

STAT 991: Online Methods in Machine Learning: Theory and Applications

University of Pennsylvania, Department of Statistics

Spring 2015

STAT 991: Concentration Inequalities and Applications

University of Pennsylvania, Department of Statistics

Fall 2009-2015

STAT 101: Intro to Statistics

University of Pennsylvania, Department of Statistics

Spring 2015

Spring School "Structural Inference in Statistics"

Sylt, Germany

Spring 2012, 2014

Statistical Learning Theory and Sequential Prediction

University of Pennsylvania, Department of Statistics

Summer 2012

Introduction to Statistical Learning Theory

The 21st Machine Learning Summer School (Kyoto, Japan)

Spring 2012

From Statistical Learning to Sequential Prediction: A Minimax Approach (minicourse)

ENSAE, Paris Graduate School of Economics, Statistics and Finance

Spring 2009

STAT 991: Regularization Methods

University of Pennsylvania, Department of Statistics