Talks

The list given below is the result of some divine power pushing me every now and then to overcome my perennial laziness and make slides for talks that I am supposed to give. Some of these talk slides were composed in the PPT format but I have tried to present most slides in the PDF format for uniformity.

Invited Talks, Keynotes

  1. Beyond Convenience: Beyond Convexity,
    Mini Symposium on Computation and Optimization in the Sciences and Engineering, IIT Kanpur, February 3-4, 2016.
    [pdf-slides]

  2. An Introduction to Concentration Inequalities and Statistical Learning Theory,
    MSR India Summer School 2015 on Machine Learning, June 15-26, 2015.
    [pptx-slides]

  3. Algorithms for Processing Massive Data Sets,
    3rd International Symposium, Graduate School of Information, Production and Systems, Waseda University, Japan, March 10-11, 2010.
    [pdf-slides]

  4. Support Vector Machines and their Applications,
    Summer School on Expert Systems and Their Applications, Indian Institute of Information Technology, Allahabad, June 10-14, 2009.
    [pdf-slides]

Contributed Talks

  1. Surrogate Functions for Maximizing Precision at the Top,
    32nd International Conference on Machine Learning (ICML), Lille, France, July 6-11, 2015.
    [pptx-slides]

  2. On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions,
    30th International Conference on Machine Learning (ICML), Atlanta, Georgia, USA, June 16-21, 2013.
    [pdf-slides]

  3. On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces,
    20th International Conference on Database and Expert Systems Applications (DEXA), Linz, Austria, August 31-September 4, 2009.
    [pdf-slides]

  4. Semantic Structure of the Indian Sign Language,
    Eighth International Conference on South Asian Languages (ICOSAL), Aligarh Muslim University, January 6, 2008.
    [pdf-slides]

  5. INGIT: Limited Domain Formulaic Translation from Hindi to Indian Sign Language,
    5th International Conference on Natural Language Processing (ICON), IIT Hyderabad, January 4-6, 2007.
    [pdf-slides]

  6. Spoken and Sign Languages: A Cross-modal Study,
    Twenty Eighth All India Conference of Linguists (AICL), Banaras Hindu University, November 2-4, 2006.
    [pdf-slides]

Lectures, Seminars

  1. Some Recent Advances in Non-convex Optimization,
    Amazon Machine Learning Group, Bangalore, June 20, 2016.
    The Data Science Institute, Columbia University, July 20, 2016.
    [pdf-slides]

  2. Extreme Classification - a Tale of Two Approaches,
    Amazon Machine Learning Group, Bangalore, June 20, 2016.

  3. Learning with Pairwise Losses,
    Course Lecture for E0 370: Statistical Learning Theory, October 29, 2013.
    (Instructor: Prof. Shivani Agarwal, Dept. of CSA, IISc)
    [pdf-slides]

  4. Online Learning with Pairwise Loss Functions,
    MLSIG Seminar Series, Dept. of CSA, IISc, September 12, 2013.
    [pdf-slides]

  5. A pre-Weekend Talk on Online Learning,
    TGIF Talk Series, Microsoft Research India, August 23, 2013.
    [pdf-slides]

  6. Explicit Feature Methods for Accelerated Kernel Learning,
    Machine Learning and Optimization Group, Microsoft Research India, August 14, 2013.
    [pdf-slides]

  7. Accelerated Kernel Learning,
    Department of CSE, IIT Gandhinagar, November 27, 2012.
    [pdf-slides]

  8. Topics in Kernel Learning,
    Alan Turing Centenary Year Celebrations, Department of CSE, IIT Kanpur, October 10, 2012.
    [pdf-slides]

  9. Random Features for Kernel Learning,
    Mysore Park Wokshop on Machine Learning, Infosys Campus Mysore, August 3, 2012.
    [pdf-slides]

  10. Learning with Similarity Functions,
    Machine Learning and Optimization Group, Microsoft Research India, July 18, 2012.
    [pdf-slides]

  11. Similarity-based Learning via Data Driven Embeddings,
    CSE Departmental Colloquia, CSE/IITK, October 28, 2011.
    [pdf-slides]

  12. Learning in Indefiniteness,
    A presentation I gave for my PhD State of the Art seminar, CSE/IITK, August 2, 2010.
    [pdf-slides]

  13. An Introduction to Computational Learning Theory,
    SIGML Seminar Series, CSE/IITK, January 23, 2010.
    [pdf-slides]

  14. How to Hoodwink a Halfspace,
    A presentation I gave for my PhD comprehensive examination, CSE/IITK, January 12, 2010.
    [pdf-slides]

  15. Metric Embeddings and Applications in Computer Science,
    SIGTACS Seminar Series, CSE/IITK, January 10, 2009.
    [pdf-slides]