Inverse Reinforcement Learning From Like-Minded Teachers
Ritesh Noothigattu*, Tom Yan*, Ariel D. Procaccia
AAAI 2021: Proc. 35th AAAI Conference on Artificial Intelligence, February 2021.
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Axioms for Learning from Pairwise Comparisons
Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia
NeurIPS 2020: Proc. 34th Conference on Neural Information Processing Systems, December 2020.
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Machine Learning and Multiagent Preferences
Ritesh Noothigattu
Ph.D. Thesis, Carnegie Mellon University, August 2020.
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Loss Functions, Axioms, and Peer Review
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
IML@ICML2020: Workshop on Incentives in Machine Learning at ICML, July 2020.
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Envy-Free Classification
(α-β) Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia
NeurIPS 2019: Proc. 33rd Conference on Neural Information Processing Systems, December 2019.
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WeBuildAI: Participatory Framework for Fair and Efficient Algorithmic Governance
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Christos-Alexandros Psomas, Ariel D. Procaccia
CSCW 2019: Proc. 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, November 2019.
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Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
IBM Journal of Research and Development, 2019. Also accepted in the IJCAI Journal Track, August 2019.
[ PDF ] [ Supplementary Video ]

Statistical Foundations of Virtual Democracy
(α-β) Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, Christos-Alexandros Psomas
ICML 2019: Proc. 36th International Conference on Machine Learning, June 2019.
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Please be an Influencer? Contingency-Aware Influence Maximization
Amulya Yadav*, Ritesh Noothigattu*, Eric Rice, Laura Onasch-Vera, Leandro S. Marcolino, Milind Tambe
AAMAS 2018: Proc. 17th Intl. Conference on Autonomous Agents and Multiagent Systems, July 2018.
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A Voting-Based System for Ethical Decision Making
Ritesh Noothigattu, Snehalkumar S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
AAAI 2018: Proc. 32nd AAAI Conference on Artificial Intelligence, February 2018.
Press coverage: The Outline, Axios, Bloomberg, KPCC (radio).
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Weighted Voting Via No-Regret Learning
(α-β) Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia
AAAI 2018: Proc. 32nd AAAI Conference on Artificial Intelligence, February 2018.
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Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand*, Ritesh Noothigattu*, Parag Singla, Mausam
AISTATS 2017: Proc. 20th International Conference on Artificial Intelligence and Statistics, April 2017.
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OGA-UCT: On-the-Go Abstractions in UCT
Ankit Anand*, Ritesh Noothigattu*, Mausam, Parag Singla
ICAPS 2016: Proc. 26th International Conference on Automated Planning and Scheduling, June 2016.
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* Equal contributions by authors
(α-β): Authors ordered alphabetically