May 27, 2019 · We build on standard theory and tools from formal verification and propose a novel algorithm that solves a sequence of satisfiability problems.
Predictive models are being increasingly used to support consequential decision making at the individual level in contexts such as pretrial.
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Feb 28, 2020 · Predictive models are being increasingly used to support consequential decision making at the individual level in contexts such as pretrial.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and ...
In this paper, we propose a model-agnostic algorithm to generate counterfactual explanations that builds on the standard theory and tools from formal ...
May 27, 2019 · This work builds on standard theory and tools from formal verification and proposes a novel algorithm that solves a sequence of ...
Sep 30, 2023 · Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera : Model-Agnostic Counterfactual Explanations for Consequential Decisions.
This repository provides code and examples for generating nearest counterfactual explanations and minimal consequential interventions.
Aug 26, 2020 · Model-Agnostic Counterfactual Explanations for Consequential Decisions. Aug 26, 2020. Speakers. AK · Amir-Hossein Karimi. Speaker · 0 followers.
Duration: 3:38
Posted: Aug 13, 2019
Posted: Aug 13, 2019