suvrit.de

Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Homepage

Laboratory for Information and Decision Systems ( LIDS. Massachusetts Institute of Technology ( MIT. Office: 32-D580; Tel: 617-253-3816. I'm a member of Machine Learning@MIT. Research Interests: large-scale machine learning. Optimization (convex, nonconvex). I work on algorithms and applications in statistics, machine learning, data mining. Usually, I'm interested in anything mathematical or computational! Here's a link to my CV. Updated: 15 Mar 2014). On Matrix square roots via geometric optimization.

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Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Homepage | suvrit.de Reviews

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Laboratory for Information and Decision Systems ( LIDS. Massachusetts Institute of Technology ( MIT. Office: 32-D580; Tel: 617-253-3816. I'm a member of Machine Learning@MIT. Research Interests: large-scale machine learning. Optimization (convex, nonconvex). I work on algorithms and applications in statistics, machine learning, data mining. Usually, I'm interested in anything mathematical or computational! Here's a link to my CV. Updated: 15 Mar 2014). On Matrix square roots via geometric optimization.

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Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Homepage | suvrit.de Reviews

https://suvrit.de

Laboratory for Information and Decision Systems ( LIDS. Massachusetts Institute of Technology ( MIT. Office: 32-D580; Tel: 617-253-3816. I'm a member of Machine Learning@MIT. Research Interests: large-scale machine learning. Optimization (convex, nonconvex). I work on algorithms and applications in statistics, machine learning, data mining. Usually, I'm interested in anything mathematical or computational! Here's a link to my CV. Updated: 15 Mar 2014). On Matrix square roots via geometric optimization.

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suvrit.de

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Suvrit Sra -- MSR MLSS 2015 Teaching Materials

http://suvrit.de/teach/msr2015/index.html

Introduction to large-scale optimization. Convex analysis, optimality, duality. First-order methods, proximal splitting. Stochastic optimization, incremental gradient, parallel optimization.

2

Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Students

http://suvrit.de/students.html

CSAIL, MIT; co-advised with Leslie Kaelbling. CSAIL, MIT; co-advised with Stefanie Jegelka. Linfgu Zhang (SuperUROP, EECS / Math, MIT). Flora Tan (SuperUROP, EECS). Hayley Song (SuperUROP, EECS). UROP, EECS, MIT, Summer 2015). External collaborations with PhD students. Zelda Mariet (Masters thesis; CSAIL, MIT; 2016). Johannes Kitschke (Masters thesis; RWTH Aachen; 2015; jointly with Paolo Bientinesi. Thesis Examiner / Ph.D. committee member. Aaron Defazio (PhD, 2015). Past Interns and Students.

3

Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Students

http://suvrit.de/misc.html

Statistics of my conferences.

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Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑)

http://suvrit.de/index.html

Photo credit: Misha Sra. Laboratory for Information and Decision Systems ( LIDS. Institute for Data, Systems, and Society ( IDSS. Massachusetts Institute of Technology. I'm a member of the ML Group. And the Center for Statistics. 77 Massachusetts Ave, 32-D580, Massachusetts Institute of Technology, Cambridge, MA 02139. Suvrit at mit.edu. Link to my old website. Of optimization for ML. Especially scalable convex and nonconvex optimization. I am fascinated by geometric optimization. Workshop; speaking on.

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ml.mit.edu

Machine Learning at MIT

http://ml.mit.edu/index.html

Mailing list: ML Tea. Welcome to the Machine Learning Group (MLG). We are a small group of researchers with shared interests in machine learning. We work on a variety of topics spanning theoretical foundations, algorithms, and applications. T Broderick co-organizing Statistical Inference for Network Models Symposium. Receives a Google Faculty Research. Holding a Simons Institute Tutorial. On Nonparameteric Bayesian Methods in ML. Welcome new ML graduate students! Holding a NIPS Tutorial. With F. Bach).

ml.mit.edu

Machine Learning at MIT -- People

http://ml.mit.edu/people.html

ML faculty/PIs across MIT MIT Center for Statistics and Data Science. Postdocs, Visitors, and more. Massachusetts Institute of Technology.

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suvrit.de

Suvrit Sra (∯∐∇⊉I⊤ ∳⊋⟑) -- Homepage

Laboratory for Information and Decision Systems ( LIDS. Massachusetts Institute of Technology ( MIT. Office: 32-D580; Tel: 617-253-3816. I'm a member of Machine Learning@MIT. Research Interests: large-scale machine learning. Optimization (convex, nonconvex). I work on algorithms and applications in statistics, machine learning, data mining. Usually, I'm interested in anything mathematical or computational! Here's a link to my CV. Updated: 15 Mar 2014). On Matrix square roots via geometric optimization.

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