Parimarjan Negi

Parimarjan Negi (born 9 February 1993) is an Indian chess grandmaster. He achieved the grandmaster title at the age of 13 years, 4 months, and 20 days, which made him the second youngest grandmaster in history at the time. he is the seventh youngest player to achieve this feat.

Negi is an Indian and Asian champion. He played on the top board for the bronze medal-winning Indian team in the 2014 Chess Olympiad in Tromsø, Norway.

He was granted the Arjuna Award in 2010 by the Government of India. Provided by Wikipedia
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  1. 1
    Some Cardinality Estimates are More Equal than Others

    Some Cardinality Estimates are More Equal than Others by Negi, Parimarjan

    Published 2022
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  2. 2
    Machine Learning for Out of Distribution Database Workloads

    Machine Learning for Out of Distribution Database Workloads by Negi, Parimarjan

    Published 2024
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  3. 3
    FactorJoin: A New Cardinality Estimation Framework for Join Queries

    FactorJoin: A New Cardinality Estimation Framework for Join Queries by Wu, Ziniu, Negi, Parimarjan, Alizadeh, Mohammad, Kraska, Tim, Madden, Samuel

    Published 2023
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  4. 4
    Bao: Making Learned Query Optimization Practical

    Bao: Making Learned Query Optimization Practical by Marcus, Ryan, Negi, Parimarjan, Mao, Hongzi, Tatbul, Nesime, Alizadeh, Mohammad, Kraska, Tim

    Published 2022
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  5. 5
    Flow-loss: learning cardinality estimates that matter

    Flow-loss: learning cardinality estimates that matter by Negi, Parimarjan, Marcus, Ryan, Kipf, Andreas, Mao, Hongzi, Tatbul, Nesime, Kraska, Tim, Alizadeh, Mohammad

    Published 2022
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  6. 6
    Steering Query Optimizers: A Practical Take on Big Data Workloads

    Steering Query Optimizers: A Practical Take on Big Data Workloads by Negi, Parimarjan, Interlandi, Matteo, Marcus, Ryan, Alizadeh, Mohammad, Kraska, Tim, Friedman, Marc, Jindal, Alekh

    Published 2022
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  7. 7
    Neo: a learned query optimizer

    Neo: a learned query optimizer by Marcus, Ryan, Negi, Parimarjan, Mao, Hongzi, Zhang, Chi, Alizadeh, Mohammad, Kraska, Tim, Papaemmanouil, Olga, Tatbul, Nesime

    Published 2021
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  8. 8
    Stage: Query Execution Time Prediction in Amazon Redshift

    Stage: Query Execution Time Prediction in Amazon Redshift by Wu, Ziniu, Marcus, Ryan, Liu, Zhengchun, Negi, Parimarjan, Nathan, Vikram, Pfeil, Pascal, Saxena, Gaurav, Rahman, Mohammad, Narayanaswamy, Balakrishnan, Kraska, Tim

    Published 2024
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  9. 9
    Park: An open platform for learning-augmented computer systems

    Park: An open platform for learning-augmented computer systems by Mao, Hongzi, Negi, Parimarjan, Narayan, Akshay, Wang, Hanrui, Yang, Jiacheng, Wang, Haonan, Marcus, Ryan, Addanki, Ravichandra, Khani, Mehrdad, He, Songtao, Nathan, Vikram, Cangialosi, Frank, Bojja Venkatakrishnan, Shaileshh, Weng, Wei-Hung, Han, Song, Kraska, Tim, Alizadeh Attar, Mohammadreza

    Published 2022
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