ML for Data Management
ML for Data Management
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Gao Cong
Latest
Machine Learning for Databases: Foundations, Paradigms, and Open problems
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
PLATON: Top-down R-tree Packing with Learned Partition Policy
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
Learned Index Benefits: Machine Learning Based Index Performance Estimation
Towards Designing and Learning Piecewise Space-Filling Curves
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models
QueryFormer: a tree transformer model for query plan representation
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
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