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 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)
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.
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