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07/21/2023
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
Hyperspectral imaging (HSI) captures a greater level of spectral detail ...
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07/03/2023
Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
We suggest double/debiased machine learning estimators of direct and ind...
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10/26/2022
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset
Endoscopic content area refers to the informative area enclosed by the d...
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07/10/2022
Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
In the context of an endogenous binary treatment with heterogeneous effe...
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04/22/2022
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
We apply causal machine learning algorithms to assess the causal effect ...
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03/29/2022
Testing the identification of causal effects in data
This study demonstrates the existence of a testable condition for the id...
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09/30/2021
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
Current laparoscopic camera motion automation relies on rule-based appro...
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06/08/2021
Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment
While most treatment evaluations focus on binary interventions, a growin...
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05/04/2021
Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
We assess the demand effects of discounts on train tickets issued by the...
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04/22/2021
Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks
Adding to the literature on the data-driven detection of bid-rigging car...
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01/19/2021
The fiscal response to revenue shocks
We study the impact of fiscal revenue shocks on local fiscal policy. We ...
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12/05/2020
Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland
Causal estimation of the short-term effects of tariff-rate quotas (TRQs)...
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12/01/2020
Evaluating (weighted) dynamic treatment effects by double machine learning
We consider evaluating the causal effects of dynamic treatments, i.e. of...
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11/30/2020
Double machine learning for sample selection models
This paper considers treatment evaluation when outcomes are only observe...
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05/20/2020
The Impact of Response Measures on COVID-19-Related Hospitalization and Death Rates in Germany and Switzerland
We assess the impact of COVID-19 response measures implemented in German...
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04/12/2020
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels
We propose a new method for flagging bid rigging, which is particularly ...
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02/12/2020
Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition
Causal mediation analysis aims at disentangling a treatment effect into ...
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10/01/2019
