no code implementations • 6 Nov 2023 • Benjie Wang, Joel Jennings, Wenbo Gong
Unfortunately, most existing structure learning approaches assume that the underlying process evolves in discrete-time and/or observations occur at regular time intervals.
1 code implementation • 5 May 2023 • Xiyue Zhang, Benjie Wang, Marta Kwiatkowska
Neural network verification mainly focuses on local robustness properties, which can be checked by bounding the image (set of outputs) of a given input set.
1 code implementation • 17 Apr 2023 • Benjie Wang, Marta Kwiatkowska
Probabilistic circuits (PCs) are a class of tractable probabilistic models, which admit efficient inference routines depending on their structural properties.
no code implementations • 28 Nov 2022 • Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska
After describing the search methodology, the selected research papers are briefly reviewed, with the view to identify publicly available models and datasets that are well suited to analysis using the causal interventional analysis software tool developed in Wang B, Lyle C, Kwiatkowska M (2021).
1 code implementation • 11 May 2022 • Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
In many domains, worst-case guarantees on the performance (e. g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment are crucial.
no code implementations • 29 Apr 2022 • Benjie Wang, Matthew Wicker, Marta Kwiatkowska
Bayesian structure learning allows one to capture uncertainty over the causal directed acyclic graph (DAG) responsible for generating given data.
1 code implementation • 19 May 2021 • Benjie Wang, Clare Lyle, Marta Kwiatkowska
Robustness of decision rules to shifts in the data-generating process is crucial to the successful deployment of decision-making systems.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Emanuele La Malfa, Min Wu, Luca Laurenti, Benjie Wang, Anthony Hartshorn, Marta Kwiatkowska
Neural network NLP models are vulnerable to small modifications of the input that maintain the original meaning but result in a different prediction.
1 code implementation • 10 Dec 2019 • Benjie Wang, Stefan Webb, Tom Rainforth
The SRR provides a distinct and complementary measure of robust performance, compared to natural and adversarial risk.