Ankan Saha
I am a fifth year Graduate student in the department
of Computer Science at the
University of Chicago currently being advised by
John Lafferty.
Partha Niyogi
will always be the master.
I am broadly interested in topics related to the interplay between
(Convex) Optimization and Machine Learning and their applications in
Information Retrieval and Social Media.
I work on various areas of Machine learning including optimization
of surrogate losses and online learning.
I also dabble with Learning Theory, Computational Geometry and
Social Learning at times.
Please contact me at the email address
below.
Contact
concatenation of first name and 's' [AT] cs [dot] uchicago [dot] edu
Work Experience
- Summers 2012: Research Intern in the Machine Learning group at MSR Redmond.
- Summers 2011: Research Intern at MSR Bangalore.
- Summers 2010: Research Intern at IBM Research Yorktown.
- Summers 2008: Research Intern at MPI Tubingen.
Publications
- Journals
- Conferences
- Workshop Papers
- Preprints
- Book Chapter
Presentations
- Ankan Saha.(2012) Efficient Minimization of Risk Measures
via Smoothing: Theory and Applications. Machine
Learning Seminar University of California Santa Cruz,
November 2012.
- Ankan Saha.(2012) Efficient Minimization of Risk
Measures via Smoothing: Theory and
Applications. Machine Learning Seminar, MSR
Redmond, August 2012.
- Ankan Saha.(2012) Efficient Minimization of Risk
Measures via Smoothing: Theory and
Applications. Machine Learning Seminar,
Google Research, August 2012.
- Ankan Saha.(2010) New Approximation Algorithms for Minimum
Enclosing Convex Shapes. Machine Learning Seminar,
Purdue University
- Ankan Saha.(2010) New Approximation Algorithms for Minimum
Enclosing Convex Shapes. IBM TJ Watson Research Center,
Yorktown,NY.
- Ankan Saha.(2010) Faster Rates for training Max-Margin Markov
Networks. Machine Learning Reading Group, TTI
Chicago.
Theses
- Topics in Structured Prediction: Problems and Approaches
Masters Thesis, U.Chicago [Paper]
Teaching
Teaching Assistant for the following courses
- Winter 2010: Introduction to AI
- Summer 2010: Discrete Mathematics
- Spring 2009: Complexity Theory
- Winter 2009: Introduction to C++
- Fall 2008: Discrete Mathematics
- Winter 2007: Introduction to Computer Science
- Fall 2007: Algorithms
Fun Stuff
I used to organize the CS
Grad Pizza Seminar at
UChicago last year. Drop me an email if you want to give a talk.