and one at UAI
Happy to share our works on “Performative Learning Theory” and “Off-Policy Evaluation with Strategic Agents via Local Disclosure” has been accepted to ICML 2026! Also glad our paper on “Quantification of Credal Uncertainty: A Distance-Based Approach” will be presented at UAI 2026.
Great news: Our paper on “Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification” has been accepted to the Transactions on Machine Lea...
I am visiting the Stanford Trustworthy AI Research Lab (STAIR). I’ll present our work on empirical alignment and incentive-aware AI regulation – both motivat...
Our research on personalizing exosuits via interpretable Bayesian optimization was covered by Börsen-Zeitung, Germany’s main newspaper on financial markets.
I’m on my way to Porto to attend the European Conference on Machine Learning ECML-PKDD (Europe’s flagship conference on Machine Learning) in order to present...
