Maximilian Schleich | DeepAI

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∙ 10/31/2022

Computing Rule-Based Explanations by Leveraging Counterfactuals

Sophisticated machine models are increasingly used for high-stakes decis...

0 Zixuan Geng, et al. ∙

∙ 10/12/2022

Optimizing Tensor Programs on Flexible Storage

Tensor programs often need to process large tensors (vectors, matrices, ...

0 Maximilian Schleich, et al. ∙

∙ 01/05/2021

GeCo: Quality Counterfactual Explanations in Real Time

Machine learning is increasingly applied in high-stakes decision making ...

7 Maximilian Schleich, et al. ∙

∙ 09/18/2020

On the Tractability of SHAP Explanations

SHAP explanations are a popular feature-attribution mechanism for explai...

12 Guy Van den Broeck, et al. ∙

∙ 08/19/2020

LMFAO: An Engine for Batches of Group-By Aggregates

LMFAO is an in-memory optimization and execution engine for large batche...

0 Maximilian Schleich, et al. ∙

∙ 03/15/2020

Causality-based Explanation of Classification Outcomes

We propose a simple definition of an explanation for the outcome of a cl...

14 Leopoldo Bertossi, et al. ∙

∙ 01/10/2020

Multi-layer Optimizations for End-to-End Data Analytics

We consider the problem of training machine learning models over multi-r...

0 Amir Shaikhha, et al. ∙

∙ 11/15/2019

Learning Models over Relational Data: A Brief Tutorial

This tutorial overviews the state of the art in learning models over rel...

0 Maximilian Schleich, et al. ∙

∙ 10/11/2019

Rk-means: Fast Clustering for Relational Data

Conventional machine learning algorithms cannot be applied until a data ...

0 Ryan Curtin, et al. ∙

∙ 06/20/2019

A Layered Aggregate Engine for Analytics Workloads

This paper introduces LMFAO (Layered Multiple Functional Aggregate Optim...

0 Maximilian Schleich, et al. ∙

∙ 12/22/2018

On Functional Aggregate Queries with Additive Inequalities

Motivated by fundamental applications in databases and relational machin...

0 Mahmoud Abo Khamis, et al. ∙

∙ 03/20/2018

AC/DC: In-Database Learning Thunderstruck

We report on the design and implementation of the AC/DC gradient descent...

0 Mahmoud Abo Khamis, et al. ∙

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