Temporally-Biased Sampling for Online Model Management. - Brian Hentschel; Peter J. Haas; Yuanyuan Tian 001 (EDBT, 2018)

Column Sketches: A Scan Accelerator for Rapid and Robust Predicate Evaluation. - Brian Hentschel; Michael S. Kester; Stratos Idreos (SIGMOD Conference, 2018)

The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (SIGMOD Conference, 2018)

The Internals of the Data Calculator. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (CoRR, 2018)

The Periodic Table of Data Structures. - Stratos Idreos; Kostas Zoumpatianos; Manos Athanassoulis; Niv Dayan; Brian Hentschel; Michael S. Kester; Demi Guo; Lukas M. Maas; Wilson Qin; Abdul Wasay; Yiyou Sun (IEEE Data Eng. Bull., 2018)

Temporally-Biased Sampling Schemes for Online Model Management. - Brian Hentschel; Peter J. Haas; Yuanyuan Tian 001 (CoRR, 2019)

Learning Data Structure Alchemy. - Stratos Idreos; Kostas Zoumpatianos; Subarna Chatterjee; Wilson Qin; Abdul Wasay; Brian Hentschel; Mike S. Kester; Niv Dayan; Demi Guo; Minseo Kang; Yiyou Sun (IEEE Data Eng. Bull., 2019)

Online Model Management via Temporally Biased Sampling. - Brian Hentschel; Peter J. Haas; Yuanyuan Tian 001 (SIGMOD Rec., 2019)

General Temporally Biased Sampling Schemes for Online Model Management. - Brian Hentschel; Peter J. Haas; Yuanyuan Tian 001 (ACM Trans. Database Syst., 2019)

MotherNets: Rapid Deep Ensemble Learning. - Abdul Wasay; Brian Hentschel; Yuze Liao; Sanyuan Chen; Stratos Idreos (MLSys, 2020)

Stacked Filters: Learning to Filter by Structure. - Kyle Deeds; Brian Hentschel; Stratos Idreos (Proc. VLDB Endow., 2020)

Entropy-Learned Hashing: Constant Time Hashing with Controllable Uniformity. - Brian Hentschel; Utku Sirin; Stratos Idreos (SIGMOD Conference, 2022)

Exact PPS sampling with bounded sample size. - Brian Hentschel; Peter J. Haas; Yuanyuan Tian 001 (Inf. Process. Lett., 2023)