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ORCIDRitesh Noothigattu
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2020 – today
- 2021
[b1]Ritesh Noothigattu:
Machine Learning and Multiagent Preferences. Carnegie Mellon University, USA, 2021- [j3]Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia:
Loss Functions, Axioms, and Peer Review. J. Artif. Intell. Res. 70: 1481-1515 (2021) - [c10]Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia:
Inverse Reinforcement Learning From Like-Minded Teachers. AAAI 2021: 9197-9204 - 2020
- [c9]Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia:
Axioms for Learning from Pairwise Comparisons. NeurIPS 2020
2010 – 2019
- 2019
- [j2]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei
, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63(4/5): 2:1-2:9 (2019) - [j1]Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, Ariel D. Procaccia:
WeBuildAI: Participatory Framework for Algorithmic Governance. Proc. ACM Hum. Comput. Interact. 3(CSCW): 181:1-181:35 (2019) - [c8]Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, Christos-Alexandros Psomas:
Statistical Foundations of Virtual Democracy. ICML 2019: 3173-3182 - [c7]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI 2019: 6377-6381 - [c6]Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia:
Envy-Free Classification. NeurIPS 2019: 1238-1248 - 2018
- [c5]Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
Weighted Voting Via No-Regret Learning. AAAI 2018: 1055-1062 - [c4]Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
A Voting-Based System for Ethical Decision Making. AAAI 2018: 1587-1594 - [c3]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [i6]Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia:
Choosing How to Choose Papers. CoRR abs/1808.09057 (2018) - [i5]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR abs/1809.08343 (2018) - [i4]Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia:
Envy-Free Classification. CoRR abs/1809.08700 (2018) - 2017
- [c2]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS 2017: 1541-1549 - [i3]Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
Weighted Voting Via No-Regret Learning. CoRR abs/1703.04756 (2017) - [i2]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR abs/1707.08879 (2017) - [i1]Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
A Voting-Based System for Ethical Decision Making. CoRR abs/1709.06692 (2017) - 2016
- [c1]Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla:
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS 2016: 29-37
Coauthor Index
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