Invited Talks

Invited Talks & Tutorials

  • Invited Talk at LSIT 2021 (Link to the Talk)

  • Tutorial Speaker at IJCAI 2020

  • Invited Talk in the Special Session Deep Learning and Information Theory at SPCOM 2020 (Virtual Conference)

  • Tutorial Speaker at ECAI 2020

  • Invited Talk at the Information Theory and Applications (ITA) workshop at San Diego, CA in February 2020 (Link to Talk)

  • Invited Talk at the Tata Institute of Fundamental Research, September 2019 (Link)

  • Tutorial at 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 (See tutorial website)

  • Invited Talk: Allen Institute of Artificial Intelligence, October 2018 (Video Link)

  • Invited Talk: Google Seattle, October 2018

  • Microsoft Machine Learning, AI and Data Science Conference, Spring 2017

  • LDV Vision Conference, New York 2017

  • Invited Talk: AMS Sectional Meeting, Special Session on Geometry and Optimization in Computer Vision, Pullman, WA, March 2017 (Link)

  • Google Seattle, September 2015

  • International Symposium on Mathematical Programming (ISMP), Pittsburg - July, 2015 (Session on Submodular Optimization, Link)

  • Invited Tutorial at the Non Convex Optimization in Machine Learning, IIT Bombay, 2015 (Slides)

  • UW-MSR Joint Machine Learning Symposium, Redmond (invited spotlight) - Feb. 2015 (Link to Video)

  • General Electric (GE), August, 2014.

  • University of Washington Yahoo! Machine Learning Lunch - May, 2014

  • University of Washington, Trends in Optimization (TOPS) seminar - May, 2014 (Link)

  • Microsoft Research, Bangalore, January, 2014.

  • Indian Institute of Science (IISc), January, 2014 (Link to Video)

  • Indian Institute of Technology, Bombay (IIT-B), March, 2013 and Feb. 2014.

  • Indian Institute of Technology, Gandhinagar (IIT-GN), Feb. 2014.

  • Neural Information Processing Systems (NIPS) - 2013 (Link to Video, from 56th Minute)

  • International Conference on Machine Learning (ICML) - 2013 (Link to Video)

  • Uncertainty in Artificial Intelligence (UAI) - 2013.

  • Uncertainty in Artificial Intelligence (UAI) - 2012.

  • Workshop on Discrete Optimization in Machine Learning (DISCML) - 2012.

  • MITACS Globalink Research Symposium - 2010.

IJCAI 2020 Tutorial

Submodular Optimization for Data Selection, Feature Selection, and Data Summarization

Jointly given with Ganesh Ramakrishnan

SPCOM 2020 Invited Talk

Combinatorial Information Measures with Applications to Machine Learning

Allen Institute of AI (AI2)

Combinatorial Optimization for Visual Data Summarization

NIPS 2013 Best paper award talk

Submodular Optimization Subject to Submodular Cover and Submodular Knapsack Constraints

UW-MSR MAchine learning workshop

Submodular Point Processes with Applications to Machine Learning

LSIT 2021 Talk

Submodular Information Measures with Applications to ML