Fair and Welfare-Efficient Resource Allocation under Uncertainty
Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick, The 37th Annual Conference on Neural Information Processing Systems, 2024
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Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick, The 37th Annual Conference on Neural Information Processing Systems, 2024
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Anmol Mekala, Vineeth Dorna, Shreya Dubey, Abhishek Lalwani, David Koleczek, Mukund Rungta, Sadid Hasan, Elita Lobo, The 31st International Conference on Computational Linguistics, 2024
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Cyrus Cousins, Elita Lobo, Kavosh Asadi, Michael L. Littman, The Reinforcement Learning Conference, 2024 (Outstanding Paper Award)
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Elita Lobo,Chirag Agarwal, Hima Lakkaraju, Under Review
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Elita Lobo, Cyrus Cousins, Marek Petrik, Yair Zick, Thirty-seventh Conference on Neural Information Processing Systems, 2023
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Vignesh Viswanathan, Elita Lobo, Yacine Izza, Gagan Biradar, Yair Zick, The 38th Annual AAAI Conference on Artificial Intelligence, 2023
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Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz, The 18th International Workshop on Ontology Matching, 2023
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Elita Lobo, Harvineet Singh, Cynthia Rudin, Himabindu Lakkaraju, The 38th Conference on Uncertainty in Artificial Intelligence, 2022 (Top 5%)
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Elita Lobo, Yash Chandak, Dharmashankar Subramanian, Josiah Hanna, Marek Petrik, NeurIPS Safe and Robust Control of Uncertain Systems Workshop, 2021
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Elita Lobo, Mohammad Ghavamzadeh, Marek Petrik, R2AW Workshop, IJCAI, 2020
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Elita Lobo, Nhan Pham, Dharmashankar Subramanian, Tejaswini Pedapati, Patent submitted in May 2021. Currently, under review.
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Myna Vajha, Vinayak Ramkumar, Bhagyashree Puranik, Ganesh Kini, Elita Lobo, Birenjith Sasidharan, and P. Vijay Kumar, FAST Conference, 2018
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