Maximilian Schleich

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Aggregate Queries

Linear Regression Models

Relational Data

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Proc. ACM Manag. Data

Publications

Amir Shaikhha, Dan Suciu, Maximilian Schleich, Hung Q. Ngo
Optimizing Nested Recursive Queries. Proc. ACM Manag. Data 2 (1) (2024)
Maximilian Schleich, Amir Shaikhha, Dan Suciu
Optimizing Tensor Programs on Flexible Storage. Proc. ACM Manag. Data 1 (1) (2023)
Maximilian Schleich, Amir Shaikhha, Dan Suciu
Optimizing Tensor Programs on Flexible Storage. CoRR (2022)
Zixuan Geng, Maximilian Schleich, Dan Suciu
Computing Rule-Based Explanations by Leveraging Counterfactuals. Proc. VLDB Endow. 16 (3) (2022)
Zixuan Geng, Maximilian Schleich, Dan Suciu
Computing Rule-Based Explanations by Leveraging Counterfactuals. CoRR (2022)
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
On the Tractability of SHAP Explanations. J. Artif. Intell. Res. 74 (2022)
Amir Shaikhha, Maximilian Schleich, Dan Olteanu
An Intermediate Representation for Hybrid Database and Machine Learning Workloads. Proc. VLDB Endow. 14 (12) (2021)
Maximilian Schleich
Structure-Aware Machine Learning over Multi-Relational Databases. SIGMOD Conference (2021)
Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu
GeCo: Quality Counterfactual Explanations in Real Time. Proc. VLDB Endow. 14 (9) (2021)
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
On the Tractability of SHAP Explanations. AAAI (2021)
Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu
GeCo: Quality Counterfactual Explanations in Real Time. CoRR (2021)
Maximilian Schleich, Dan Olteanu
LMFAO: An Engine for Batches of Group-By Aggregates. CoRR (2020)
Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena
Causality-based Explanation of Classification Outcomes. DEEM@SIGMOD (2020)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. AISTATS (2020)
Maximilian Schleich, Dan Olteanu
LMFAO: An Engine for Batches of Group-By Aggregates. Proc. VLDB Endow. 13 (12) (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer Optimizations for End-to-End Data Analytics. CoRR (2020)
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
On the Tractability of SHAP Explanations. CoRR (2020)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies. ACM Trans. Database Syst. 45 (2) (2020)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Functional Aggregate Queries with Additive Inequalities. ACM Trans. Database Syst. 45 (4) (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer optimizations for end-to-end data analytics. CGO (2020)
Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena
Causality-based Explanation of Classification Outcomes. CoRR (2020)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
Learning Models over Relational Data: A Brief Tutorial. CoRR (2019)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. CoRR (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
A Layered Aggregate Engine for Analytics Workloads. SIGMOD Conference (2019)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. PODS (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
Learning Models over Relational Data: A Brief Tutorial. SUM (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
A Layered Aggregate Engine for Analytics Workloads. CoRR (2019)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
AC/DC: In-Database Learning Thunderstruck. DEEM@SIGMOD (2018)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
AC/DC: In-Database Learning Thunderstruck. CoRR (2018)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. CoRR (2018)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Learning with Sparse Tensors. PODS (2018)
Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Factorized Learning. AMW (2017)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Learning with Sparse Tensors. CoRR (2017)
Dan Olteanu, Maximilian Schleich
F: Regression Models over Factorized Views. Proc. VLDB Endow. 9 (13) (2016)
Dan Olteanu, Maximilian Schleich
Factorized Databases. SIGMOD Rec. 45 (2) (2016)
Maximilian Schleich, Dan Olteanu, Radu Ciucanu
Learning Linear Regression Models over Factorized Joins. SIGMOD Conference (2016)