- Do you Prefer Learning with Preferences? [Tutorial Website] [NeurIPS Website]
- With Aditya Gopalan. Our (amazing) panel: Yoshua Bengio · Craig Boutilier · Elad Hazan · Robert Nowak · Tobias Schnabel
- 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans. Dec 11th, 2023.
- Online Optimization meets Federated Learning. [UAI Website] [Tutorial Recording]
- With Kshitij Kumar Patel, TTIC.
- 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh. 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. [Video link]
- Microsoft Reactor: Data Science and Machine Learning Track. November, 2021.
- Preference based RL. [Video link]
- RL Track, Microsoft Research Summit. October, 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! [Video link]
- Undergraduate Summer School, CSA department, IISc Bangalore. July 2018.
- Preference based Learning through a Critical Lens [Tutorial Website]
- Do you Prefer Learning with Preferences? (at NeurIPS'24 Tutorial). December, 2023.
- Next decade of Federated Learning and role of Theory [Workshop Website]
- New Frontiers in Federated Learning, September, 2023.
- Trusted and Trustworthy AI [Summit Website]
- The Summit on AI in Society at the University of Chicago, October, 2022.
- Principled Methods for Leveraging Human Feedback towards AI Alignment
- IDEAL Annual Meeting and Industry Day, UIC Chicago. June 2024
- Online Federated Learning
- Federated and Collaborative Learning Workshop, Simons Institute, UC Berkeley. July 2023 [Talk Recording]
- 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
- Samueli CS dept Seminar, UCLA. June, 2023
- Personalized Prediction Models with Federated Human Preferences
- TILOS Seminar, University of California, San Diego. November, 2023
- CATS Seminar, University of Maryland. November, 2023
- ML-Opt Seminar, University of Washington. October, 2023
- Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability
- UMich AI Symposium. October, 2023
- Theory-ML Seminar, CS dept, Carnegie Mellon University (CMU). August, 2023
- RL Theory Seminar. May, 2022 [Talk Recording]
- 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.
- Battle for Better: When and How Can We Learn Faster with Subsetwise Preferences?
- Bangalore Theory Seminar, IISc Bangalore. October, 2023
- 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
- 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.
