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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in , 2009
title: “” collection: publications permalink: /publication/2009-10-01-paper-title-number-1
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Tutorials:
- Online Optimization meets Federated Learning.
- 39th Conference on Uncertainty in Artificial Intelligence (UAI). July 31st, 2023.
- ML Beyond Rewards: Online Learning with Preference Feedback. [Tutorial Website]
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). September, 2022.
- Battle of Bandits: Online learning from Preference Feedback. [Tutorial Website]
- Asian Conference of Machine Learning (ACML). November, 2021.
- Bandits for Beginners.
- Microsoft Reactor: Data Science and Machine Learning Track. November, 2021.
- Short Tutorial: (1). Support Vector Machines, (2). Winnow and Perceptron Algorithms.
- M.S. Ramaiah Institute of Technology, Bangalore. May, 2018.
- Let's Tame the Bandits!
- Undergraduate Summer School, CSA department, IISc Bangalore. July 2018.
Panel:
- Trusted and Trustworthy AI. [Summit Website]
- The Summit on AI in Society at University of Chicago, October, 2022.
Research Talks:
- Battle for Better: When and How Can We Learn Faster with Subsetwise Preferences?
- Spring Seminar, UT Austin. March 2023
- ISyE Seminar, Goergia Tech. March 2023
- The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) Talk Series. October, 2022
- Dueling-Opt: Convex Optimization with Relative Feedback
- IFDS Seminar, University of Wisconsin–Madison. October, 2022
- Fall OSL Seminar, Northwestern University. October, 2022
- Research at TTIC Series. Toyota Technological Institute at Chicago (TTIC), October, 2022
- Theory Seminar, CS, Purdue University. November, 2022
- Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability
- RL Theory Seminar. May, 2022
- Talks at TTIC Series. Toyota Technological Institute at Chicago (TTIC), August, 2022
- CS Seminar, Northwestern University. October, 2022
- ML Seminar, University of Illinois, Chicago (UIC). October, 2022
- University of Illinois Computer Science Speaker Series, UIUC. October, 2022
- ML Seminar, UChicago. October, 2022
- Adversarial Dueling Bandits
- NASSCOM AI Gamechangers. April, 2022
- Data Science in India, KDD Conference, India, August 2021.
- Information Aggregation from Unconventional Feedback
- Oracle Research, November, 2021.
- Chalmers University of Technology, November, 2021.
- Preference based Reinforcement Learning (PbRL)
- Microsoft Research Tri-Lab Offsite. November, 2021
- RL Track, Microsoft Research Summit. October, 2021
- Battling Bandits: Exploiting Subsetwise Preferences
- Sabarmati Seminar Series, IIT Gandhinagar. July 2021.
- SIERRA-Seminar, Inria, Paris. January 2020.
- Microsoft Research, Bangalore, India. October 2019.
- EECS department, University of Michigan, Ann Arbor. September, 2019
- Computer Science department, Stanford University, Serra Mall, Stanford. August, 2019
- EECS Symposium, IISc Bangalore. April, 2019.
- Carnegie Mellon University (CMU), Pittsburgh. March, 2019
- Qualcomm Research, Bangalore. May, 2018
- Bandits, Experts and Rank Aggregation
- TCS Research Lab, Bangalore. June, 2018
- Indian Institute of Technology (IIT) Madras. November, 2018
- Amazon, Bangalore. October, 2018
- IBM-IRL, Bangalore. July 2018.
- Online Learning with Structured Losses
- Conduent Labs, Bangalore. October, 2017.