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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
1672016
Factorized databases
D Olteanu, M Schleich
ACM SIGMOD Record 45 (2), 5-16, 2016
762016
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
68*2018
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
562022
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
492019
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
492018
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
272020
F: Regression models over factorized views
DA Olteanu, MJ Schleich
Proceedings of the VLDB Endowment 9 (13), 2016
272016
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
232020
GeCo: quality counterfactual explanations in real time
M Schleich, Z Geng, Y Zhang, D Suciu
arXiv preprint arXiv:2101.01292, 2021
202021
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
182020
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
142020
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
132020
LMFAO: An engine for batches of group-by aggregates
M Schleich, D Olteanu
arXiv preprint arXiv:2008.08657, 2020
102020
In-database factorized learning
HQ Ngo, XL Nguyen, D Olteanu, M Schleich
CEUR Workshop Proceedings, 2017
102017
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
92019
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
72021
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
Optimizing Tensor Programs on Flexible Storage
M Schleich, A Shaikhha, D Suciu
arXiv preprint arXiv:2210.06267, 2022
12022
Structure-aware machine learning over multi-relational databases
M Schleich
Proceedings of the 2021 International Conference on Management of Data, 6-7, 2021
12021
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Articles 1–20