Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Teaching

Spring 2023: IDS.131: Data Science
(with S. Jegelka and N. Azizan)
Fall 2022: 6.867/6.7900: Machine Learning
(with T. Jaakkola and Y. Polyanskiy)
Spring 2022: 6.252 Nonlinear Programming
(with M. Roozbehani)
Fall 2021: 6.867 Machine Learning
(with T. Jaakkola and P. Agrawal)
Spring 2021: 6.881 Optimization for ML
Spring 2020: 6.881 Optimization for ML
Fall 2019: 6.867: Machine Learning
(with D. Shah and D. Sontag)
Aug 2019: CPS-FR 2019: Summer School Lectures on modern optimization for machine learning
Fall 2018: 6.867: Machine Learning
(with D. Shah and D. Sontag)
Fall 2017: 6.867: Machine Learning
(with D. Shah and D. Sontag)
July 2017: PKU Applied Math Summer School, Beijing, China
(Lecturing on: Optimization for Machine Learning)
[1-3]; [4-5]; [6]; [7]; [8]; [9]; [10]
June 2017: MLSS 2017, Tübingen, Germany
(Lecturing on: Optimization for Machine Learning)
[Lect 1], [Lect 2], [Lect 3A], [Lect 3B].
Fall 2016: 6.867: Machine Learning
(with L. Kaelbling)
Dec 05, 2016: Stochastic optimization: Beyond stochastic gradients and convexity
[Part 1], [Part 2]. (NIPS 2016 Tutorial, with F. Bach)
Feb 29, 2016: Alternating minimization (and friends)
(guest lecture in: 6.883: Online methods in ML
Spring 2016: 6.036: Introduction to machine learning
(with Tommi Jaakkola, Regina Barzilay)
Jan 2016: Aspects of Convex, Nonconvex, and Geometric Optimization
(Trimester on Mathematics of Signal Processing, Hausdorff Institute for Mathematics, Bonn, Germany)
June 2015: Introduction to large-scale optimization
(Machine Learning Summer School, Microsoft Research, Bangalore, India)
Spring 2015: OPTML++: Optimization for ML and related (++) areas.
(organized at LIDS, MIT EECS)
Spring 2015: 6.036: Introduction to machine learning
(with Tommi Jaakkola, Regina Barzilay)
Spring 2014: 10-801: Advanced Optimization and Randomized Methods
(Taught at ML Department, Carnegie Mellon University)
Spring 2013: EE227A -- Convex Optimization
(Taught at EECS Department, UC Berkeley)
April 2013: Introduction to machine learning
(Invited EU regional course (4 hrs), RWTH Aachen University, Germany)
Jan 2013: Introduction to large scale optimization
(Invited 5 day course at Universidad Carlos III de Madrid, Spain)
2012: Introductory lectures on optimization
(Invited (3 hr) lecture at Universidat de Autonoma, Madrid, Spain)
April 2010: Introduction to matrix factorization problems
October 2009: Introductory lectures on scientific writing
(Taught at Max Planck Insitute for Intelligent Systems, Tübingen, Germany)