Search Results for author: Parimarjan Negi

Found 2 papers, 1 papers with code

FactorJoin: A New Cardinality Estimation Framework for Join Queries

no code implementations • 11 Dec 2022 • Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden

Neither classical nor learning-based methods yield satisfactory performance when estimating the cardinality of the join queries.

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Park: An Open Platform for Learning-Augmented Computer Systems

1 code implementation • NeurIPS 2019 • Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Dr.Mohammad Alizadeh

We present Park, a platform for researchers to experiment with Reinforcement Learning (RL) for computer systems.

reinforcement-learning Reinforcement Learning +1

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