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01/05/2022
Balsa: Learning a Query Optimizer Without Expert Demonstrations
Query optimizers are a performance-critical component in every database ...
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07/10/2020
Variable Skipping for Autoregressive Range Density Estimation
Deep autoregressive models compute point likelihood estimates of individ...
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06/15/2020
NeuroCard: One Cardinality Estimator for All Tables
Query optimizers rely on accurate cardinality estimates to produce good ...
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04/22/2020
Qd-tree: Learning Data Layouts for Big Data Analytics
Corporations today collect data at an unprecedented and accelerating sca...
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05/10/2019
Selectivity Estimation with Deep Likelihood Models
Selectivity estimation has long been grounded in statistical tools for d...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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08/09/2018
Learning to Optimize Join Queries With Deep Reinforcement Learning
Exhaustive enumeration of all possible join orders is often avoided, and...
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12/16/2017
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
This paper describes Tacotron 2, a neural network architecture for speec...
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03/29/2017