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Martin Spindler

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Applied Causal Inference Powered by ML and AI

Mar 04, 2024
Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, Vasilis Syrgkanis

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Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study

Feb 07, 2024
Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler

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DoubleMLDeep: Estimation of Causal Effects with Multimodal Data

Feb 01, 2024
Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar

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Causally Learning an Optimal Rework Policy

Jun 07, 2023
Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof

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Label Attention Network for sequential multi-label classification

Mar 01, 2023
Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev

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Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls

Jul 10, 2021
Helmut Wasserbacher, Martin Spindler

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DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

Apr 07, 2021
Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

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DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R

Mar 17, 2021
Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

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Uniform Inference in High-Dimensional Generalized Additive Models

Apr 03, 2020
Philipp Bach, Sven Klaassen, Jannis Kueck, Martin Spindler

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Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data

Jan 03, 2020
Xi Chen, Ye Luo, Martin Spindler

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