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个人简介
My research interests lie at the intersection of AI, optimization, learning and inference particularly using them to understand, model and combat noise and uncertainty in real world applications. I'm particularly interested in Reinforcement Learning at scale. Broadly, I work on using ideas from online algorithms, optimization under uncertainty, control theory, game theory, artificial intelligence, graphical models and estimation theory. My goal is to develop novel, somewhat theoretically well motivated optimization algorithms that bring intelligent decision support to useful resource allocation problems. My role model is Hari Seldon, though results in my time would be nice. For technical details on stuff I managed to sneak past peer review, see my publications page.
研究兴趣
论文共 75 篇作者统计合作学者相似作者
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Ziniu Wu,Ryan Marcus, Zhengchun Liu,Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman,Balakrishnan Narayanaswamy,Tim Kraska
arxiv(2024)
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CoRR (2023): 1815-1826
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Gaurav Saxena,Mohammad Rahman, Naresh Chainani, Chunbin Lin,George Caragea, Fahim Chowdhury,Ryan Marcus,Tim Kraska, Ippokratis Pandis,Balakrishnan (Murali) Narayanaswamy
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.225-237, (2023)
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Conference on Machine Learning and Systems (MLSys) (2021)
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58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020) (2020)
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