Philipp Schmidt

According to our database, Philipp Schmidt authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guiding Catalogue Enrichment with User Queries.

Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Learning Action Embeddings for Off-Policy Evaluation.

Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan, Artur Bekasov

Proceedings of the Advances in Information Retrieval, 2024

2023

Variational Boosted Soft Trees.

Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Automated Data Validation in Machine Learning Systems.

Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt

IEEE Data Eng. Bull., 2021

More Than Words: Towards Better Quality Interpretations of Text Classifiers.

Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi

CoRR, 2021

2020

Transparency and trust in artificial intelligence systems.

Philipp Schmidt, Felix Bießmann, Timm Teubner

J. Decis. Syst., 2020

Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias.

Philipp Schmidt, Felix Bießmann

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

DataWig: Missing Value Imputation for Tables.

Felix Bießmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas

J. Mach. Learn. Res., 2019

Quantifying Interpretability and Trust in Machine Learning Systems.

Philipp Schmidt, Felix Bießmann

CoRR, 2019

Unit Testing Data with Deequ.

Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov

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

Differential Data Quality Verification on Partitioned Data.

Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Automating Large-Scale Data Quality Verification.

Sebastian Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel, Felix Bießmann, Andreas Grafberger

Proc. VLDB Endow., 2018

"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data.

Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018