3 papers
cs.LG2026
Measuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian +6
We make two contributions to the problem of estimating the calibration error of a binary classifier from a finite dataset. First, we provide an upper bound for any classifier…
cs.LG2025
Linear Gradient Prediction with Control Variates
Kamil Ciosek, Nicolò Felicioni, Juan Elenter Litwin
We propose a new way of training neural networks, with the goal of reducing training cost. Our method uses approximate predicted gradients instead of the full gradients that requir…
cs.LG2025
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian
Detecting whether an LLM hallucinates is an important research challenge. One promising way of doing so is to estimate the semantic entropy (Farquhar et al., 2024) of the distribut…