29 citations · 71 across the 7 of their papers we have counts for
3 papers · 1 filter
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb, Arnaud Van Looveren, Janis Klaise
Responding appropriately to the detections of a sequential change detector requires knowledge of the rate at which false positives occur in the absence of change. Setting detection…
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
Robert-Florian Samoilescu, Arnaud Van Looveren, Janis Klaise
Counterfactual instances are a powerful tool to obtain valuable insights into automated decision processes, describing the necessary minimal changes in the input space to alter the…
Conditional Generative Models for Counterfactual Explanations
Arnaud Van Looveren, Janis Klaise, Giovanni Vacanti +1
Counterfactual instances offer human-interpretable insight into the local behaviour of machine learning models. We propose a general framework to generate sparse, in-distribution c…