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Maximilian Schleich
Maximilian Schleich
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Learning linear regression models over factorized joins
M Schleich, D Olteanu, R Ciucanu
Proceedings of the 2016 International Conference on Management of Data, 3-18, 2016
1572016
Factorized databases
D Olteanu, M Schleich
ACM SIGMOD Record 45 (2), 5-16, 2016
752016
In-database learning with sparse tensors
M Abo Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich
Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018
64*2018
AC/DC: in-database learning thunderstruck
MA Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich
Proceedings of the second workshop on data management for end-to-end machine …, 2018
472018
A layered aggregate engine for analytics workloads
M Schleich, D Olteanu, M Abo Khamis, HQ Ngo, XL Nguyen
Proceedings of the 2019 International Conference on Management of Data, 1642 …, 2019
442019
On the tractability of SHAP explanations
G Van den Broeck, A Lykov, M Schleich, D Suciu
Journal of Artificial Intelligence Research 74, 851-886, 2022
432022
F: Regression models over factorized views
DA Olteanu, MJ Schleich
Proceedings of the VLDB Endowment 9 (13), 2016
262016
Functional aggregate queries with additive inequalities
MA Khamis, RR Curtin, B Moseley, HQ Ngo, XL Nguyen, D Olteanu, ...
ACM Transactions on Database Systems (TODS) 45 (4), 1-41, 2020
252020
Causality-based explanation of classification outcomes
L Bertossi, J Li, M Schleich, D Suciu, Z Vagena
Proceedings of the Fourth International Workshop on Data Management for End …, 2020
222020
Learning models over relational data using sparse tensors and functional dependencies
MA Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich
ACM Transactions on Database Systems (TODS) 45 (2), 1-66, 2020
152020
GeCo: quality counterfactual explanations in real time
M Schleich, Z Geng, Y Zhang, D Suciu
arXiv preprint arXiv:2101.01292, 2021
122021
Rk-means: Fast clustering for relational data
R Curtin, B Moseley, H Ngo, XL Nguyen, D Olteanu, M Schleich
International Conference on Artificial Intelligence and Statistics, 2742-2752, 2020
122020
Multi-layer optimizations for end-to-end data analytics
A Shaikhha, M Schleich, A Ghita, D Olteanu
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
112020
LMFAO: An engine for batches of group-by aggregates
M Schleich, D Olteanu
arXiv preprint arXiv:2008.08657, 2020
92020
In-database factorized learning
HQ Ngo, XL Nguyen, D Olteanu, M Schleich
CEUR Workshop Proceedings, 2017
92017
Learning models over relational data: A brief tutorial
M Schleich, D Olteanu, M Abo-Khamis, HQ Ngo, XL Nguyen
International Conference on Scalable Uncertainty Management, 423-432, 2019
82019
An intermediate representation for hybrid database and machine learning workloads
A Shaikhha, M Schleich, D Olteanu
Proceedings of the VLDB Endowment 14 (12), 2831-2834, 2021
62021
AC/DC: In-database learning thunderstruck
M Abo Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich
arXiv e-prints, arXiv: 1803.07480, 2018
22018
Learning models over relational data using sparse tensors and functional dependencies
M Abo Khamis, HQ Ngo, X Nguyen, D Olteanu, M Schleich
ACM Transactions on Database Systems 45 (2), 2020
12020
Structure-aware machine learning over multi-relational databases
M Schleich
Proceedings of the 2021 International Conference on Management of Data, 6-7, 2021
2021
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Articles 1–20