Maximilian Schleich

36 papers A* 3A 2Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Optimizing Nested Recursive Queries.
Proc. ACM Manag. Data
Amir Shaikhha, Dan Suciu, Maximilian Schleich, Hung Q. Ngo
2023 J jnl
Optimizing Tensor Programs on Flexible Storage.
Proc. ACM Manag. Data
Maximilian Schleich, Amir Shaikhha, Dan Suciu
2022 J jnl
Computing Rule-Based Explanations by Leveraging Counterfactuals.
CoRR
Zixuan Geng, Maximilian Schleich, Dan Suciu
2022 J jnl
Computing Rule-Based Explanations by Leveraging Counterfactuals.
Proc. VLDB Endow.
Zixuan Geng, Maximilian Schleich, Dan Suciu
2022 J jnl
On the Tractability of SHAP Explanations.
J. Artif. Intell. Res.
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
2022 J jnl
Optimizing Tensor Programs on Flexible Storage.
CoRR
Maximilian Schleich, Amir Shaikhha, Dan Suciu
2021 J jnl
An Intermediate Representation for Hybrid Database and Machine Learning Workloads.
Proc. VLDB Endow.
Amir Shaikhha, Maximilian Schleich, Dan Olteanu
2021 J jnl
GeCo: Quality Counterfactual Explanations in Real Time.
CoRR
Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu
2021 J jnl
GeCo: Quality Counterfactual Explanations in Real Time.
Proc. VLDB Endow.
Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu
2021 A* conf
On the Tractability of SHAP Explanations.
AAAI
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
2021 — conf
Structure-Aware Machine Learning over Multi-Relational Databases.
SIGMOD Conference
Maximilian Schleich
2020 — conf
Causality-based Explanation of Classification Outcomes.
DEEM@SIGMOD
Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena
2020 J jnl
Causality-based Explanation of Classification Outcomes.
CoRR
Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena
2020 J jnl
Functional Aggregate Queries with Additive Inequalities.
ACM Trans. Database Syst.
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2020 J jnl
LMFAO: An Engine for Batches of Group-By Aggregates.
CoRR
Maximilian Schleich, Dan Olteanu
2020 J jnl
LMFAO: An Engine for Batches of Group-By Aggregates.
Proc. VLDB Endow.
Maximilian Schleich, Dan Olteanu
2020 J jnl
Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies.
ACM Trans. Database Syst.
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2020 J jnl
Multi-layer Optimizations for End-to-End Data Analytics.
CoRR
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
2020 A conf
Multi-layer optimizations for end-to-end data analytics.
CGO
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
2020 J jnl
On the Tractability of SHAP Explanations.
CoRR
Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
2020 A conf
Rk-means: Fast Clustering for Relational Data.
AISTATS
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2019 — conf
A Layered Aggregate Engine for Analytics Workloads.
SIGMOD Conference
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
2019 J jnl
A Layered Aggregate Engine for Analytics Workloads.
CoRR
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
2019 — conf
Learning Models over Relational Data: A Brief Tutorial.
SUM
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
2019 J jnl
Learning Models over Relational Data: A Brief Tutorial.
CoRR
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
2019 A* conf
On Functional Aggregate Queries with Additive Inequalities.
PODS
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2019 J jnl
Rk-means: Fast Clustering for Relational Data.
CoRR
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018 — conf
AC/DC: In-Database Learning Thunderstruck.
DEEM@SIGMOD
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018 J jnl
AC/DC: In-Database Learning Thunderstruck.
CoRR
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018 A* conf
In-Database Learning with Sparse Tensors.
PODS
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018 J jnl
On Functional Aggregate Queries with Additive Inequalities.
CoRR
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2017 — conf
In-Database Factorized Learning.
AMW
Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2017 J jnl
In-Database Learning with Sparse Tensors.
CoRR
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2016 J jnl
F: Regression Models over Factorized Views.
Proc. VLDB Endow.
Dan Olteanu, Maximilian Schleich
2016 J jnl
Factorized Databases.
SIGMOD Rec.
Dan Olteanu, Maximilian Schleich
2016 — conf
Learning Linear Regression Models over Factorized Joins.
SIGMOD Conference
Maximilian Schleich, Dan Olteanu, Radu Ciucanu