1 citations · 1 across the 3 of their papers we have counts for
4 papers
MindEval2: Clinically Grounded Patients and Rubrics for Evaluating Language Models in Mental Health Support
John Mendonça, Daniel Tschernutter, José Pombal +6
With people increasingly turning to AI chatbots for mental health support, the need to evaluate these tools is becoming more pressing. Recent benchmarks attempt to mimic a realisti…
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
We propose an algorithm for optimizing the parameters of single hidden layer neural networks. Specifically, we derive a blockwise difference-of-convex (DC) functions representation…
Interpretable Off-Policy Learning via Hyperbox Search
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Personalized treatment decisions have become an integral part of modern medicine. Thereby, the aim is to make treatment decisions based on individual patient characteristics. Numer…
Generalizing Off-Policy Learning under Sample Selection Bias
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
Learning personalized decision policies that generalize to the target population is of great relevance. Since training data is often not representative of the target population, st…