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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
About me
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Posts
portfolio
publications
Clay Codes: Moulding MDS Codes to Yield an MSR Code
Myna Vajha, Vinayak Ramkumar, Bhagyashree Puranik, Ganesh Kini, Elita Lobo, Birenjith Sasidharan, and P. Vijay Kumar, FAST Conference, 2018
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A Metahyperparameter Tuning Framework for Reinforcement Learning
Elita Lobo, Nhan Pham, Dharmashankar Subramanian, Tejaswini Pedapati, Patent submitted in May 2021. Currently, under review.
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Soft-Robust Algorithms for Handling Model Misspecification
Elita Lobo, Mohammad Ghavamzadeh, Marek Petrik, R2AW Workshop, IJCAI, 2020
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Behavior Policy Search for Risk Estimators in RL
Elita Lobo, Yash Chandak, Dharmashankar Subramanian, Josiah Hanna, Marek Petrik, NeurIPS Safe and Robust Control of Uncertain Systems Workshop, 2021
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Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
Elita Lobo, Harvineet Singh, Cynthia Rudin, Himabindu Lakkaraju, The 38th Conference on Uncertainty in Artificial Intelligence, 2022 (Top 5%)
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Matching table metadata with business glossaries using large language models
Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz, The 18th International Workshop on Ontology Matching, 2023
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Axiomatic Aggregations of Abductive Explanations
Vignesh Viswanathan, Elita Lobo, Yacine Izza, Gagan Biradar, Yair Zick, The 38th Annual AAAI Conference on Artificial Intelligence, 2023
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Percentile Criterion Optimization in Offline Reinforcement Learning
Elita Lobo, Cyrus Cousins, Marek Petrik, Yair Zick, Thirty-seventh Conference on Neural Information Processing Systems, 2023
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On the Impact of Fine-Tuning on Chain-of-Thought Reasoning in LLMs
Elita Lobo,Chirag Agarwal, Hima Lakkaraju, Under Review
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On Welfare-Centric Fair Reinforcement Learning
Cyrus Cousins, Elita Lobo, Kavosh Asadi, Michael L. Littman, The Reinforcement Learning Conference, 2024 (Outstanding Paper Award)
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Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
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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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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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Numerical Optimization CS590OP
Graduate course, University of Massachusetts Amherst, 2018
Operating Systems CS377
Undergraduate course, University of Massachusetts Amherst, 2018
Reasoning under uncertainity CS240
Undergraduate course, University of Massachusetts Amherst, 2019
Convex Optimization CS690OP
Graduate course, University of Massachusetts Amherst, 2019