6 citations · 7 across the 2 of their papers we have counts for
3 papers
stat.ME2025
Nonparanormal Adjusted Marginal Inference
Susanne Dandl, Torsten Hothorn
Although treatment effects can be estimated from observed outcome distributions obtained from proper randomization in clinical trials, covariate adjustment is recommended to increa…
cs.IR2022★ 1 cited
Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
Benno Weck, Miguel Pérez Fernández, Holger Kirchhoff +1
We present an analysis of large-scale pretrained deep learning models used for cross-modal (text-to-audio) retrieval. We use embeddings extracted by these models in a metric learni…
stat.ME2022★ 6 cited
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
Susanne Dandl, Torsten Hothorn, Heidi Seibold +3
Estimation of heterogeneous treatment effects (HTE) is of prime importance in many disciplines, ranging from personalized medicine to economics among many others. Random forests ha…