Ryan C. Marcus

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 6

Top Topics

Query Scheduling

Compact Representations

Top Venues

Proc. VLDB Endow.

Publications

Jialin Ding, Ryan C. Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska
SageDB: An Instance-Optimized Data Analytics System. Proc. VLDB Endow. 15 (13) (2022)
Parimarjan Negi, Ryan C. Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14 (11) (2021)
Chi Zhang, Ryan C. Marcus, Anat Kleiman, Olga Papaemmanouil
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning. AIDB@VLDB (2020)
Ryan C. Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12 (11) (2019)
Solomon Garber, Aaditya Prakash, Ryan C. Marcus, Antonella DiLillo, James A. Storer
Compact Representations of Dynamic Video Background Using Motion Sprites. DCC (2019)
Ryan C. Marcus, Olga Papaemmanouil
Plan-Structured Deep Neural Network Models for Query Performance Prediction. Proc. VLDB Endow. 12 (11) (2019)