E-LIB Suche - Ergebnisse für: Schleich, Maximilian

1

Computing Rule-Based Explanations by Leveraging Counterfact..:

Geng, Zixuan ; Schleich, Maximilian ; Suciu, Dan
Proceedings of the VLDB Endowment. 16 (2022) 3 - p. 420-432 , 2022

2

An intermediate representation for hybrid database and mach..:

Shaikhha, Amir ; Schleich, Maximilian ; Olteanu, Dan
Proceedings of the VLDB Endowment. 14 (2021) 12 - p. 2831-2834 , 2021

Link: https://doi.org/10.14778..

3

Structure-Aware Machine Learning over Multi-Relational Data..:

, In: Proceedings of the 2021 International Conference on Management of Data,

Schleich, Maximilian - p. 6-7 , 2021

Link: https://dl.acm.org/doi/1..

4

GeCo: quality counterfactual explanations in real time:

Schleich, Maximilian ; Geng, Zixuan ; Zhang, Yihong.
Proceedings of the VLDB Endowment. 14 (2021) 9 - p. 1681-1693 , 2021

Link: https://doi.org/10.14778..

5

Multi-layer optimizations for end-to-end data analytics:

, In: Proceedings of the 18th ACM/IEEE International Symposium on Code Generation and Optimization,

Shaikhha, Amir ; Schleich, Maximilian ; Ghita, Alexandru. - p. 145-157 , 2020

Link: https://dl.acm.org/doi/1..

6

Learning Models over Relational Data Using Sparse Tensors a..:

Khamis, Mahmoud Abo ; Ngo, Hung Q. ; Nguyen, Xuanlong..
ACM Transactions on Database Systems. 45 (2020) 2 - p. 1-66 , 2020

Link: https://doi.org/10.1145/..

7

LMFAO: An engine for batches of group-by aggregates: layere..:

Schleich, Maximilian ; Olteanu, Dan
Proceedings of the VLDB Endowment. 13 (2020) 12 - p. 2945-2948 , 2020

Link: https://doi.org/10.14778..

8

Functional Aggregate Queries with Additive Inequalities:

Khamis, Mahmoud Abo ; Curtin, Ryan R. ; Moseley, Benjamin...
ACM Transactions on Database Systems (TODS). 45 (2020) 4 - p. 1-41 , 2020

Link: https://dl.acm.org/doi/1..

9

Causality-based Explanation of Classification Outcomes:

, In: Proceedings of the Fourth International Workshop on Data Management for End-to-End Machine Learning,

Bertossi, Leopoldo ; Li, Jordan ; Schleich, Maximilian.. - p. 1-10 , 2020

Link: https://dl.acm.org/doi/1..

10

Functional Aggregate Queries with Additive Inequalities:

Khamis, Mahmoud Abo ; Curtin, Ryan R. ; Moseley, Benjamin...
ACM Transactions on Database Systems. 45 (2020) 4 - p. 1-41 , 2020

Link: https://doi.org/10.1145/..

11

LMFAO: An engine for batches of group-by aggregates : la..:

Schleich, Maximilian ; Olteanu, Dan
Proceedings of the VLDB Endowment. 13 (2020) 12 - p. 2945-2948 , 2020

Link: https://dl.acm.org/doi/1..

12

Learning Models over Relational Data Using Sparse Tensors a..:

Khamis, Mahmoud Abo ; Ngo, Hung Q. ; Nguyen, Xuanlong..
ACM Transactions on Database Systems (TODS). 45 (2020) 2 - p. 1-66 , 2020

Link: https://dl.acm.org/doi/1..

13

Learning Models over Relational Data: A Brief Tutorial:

, In: Lecture Notes in Computer Science; Scalable Uncertainty Management,

Schleich, Maximilian ; Olteanu, Dan ; Abo-Khamis, Mahmoud.. - p. 423-432 , 2019

Link: https://doi.org/10.1007/..

14

A Layered Aggregate Engine for Analytics Workloads:

, In: Proceedings of the 2019 International Conference on Management of Data,

Schleich, Maximilian ; Olteanu, Dan ; Abo Khamis, Mahmoud.. - p. 1642-1659 , 2019

Link: https://dl.acm.org/doi/1..

15

On Functional Aggregate Queries with Additive Inequalities:

, In: Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems,

Abo Khamis, Mahmoud ; Curtin, Ryan R. ; Moseley, Benjamin... - p. 414-431 , 2019

Link: https://dl.acm.org/doi/1..