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Diverse, Global and Amortised Counterfactual Explanations for
  Uncertainty Estimates

Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates

5 December 2021
Dan Ley
Umang Bhatt
Adrian Weller
    UQCV
ArXivPDFHTML

Papers citing "Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates"

5 / 5 papers shown
Title
Model-Free Counterfactual Subset Selection at Scale
Model-Free Counterfactual Subset Selection at Scale
Minh Nguyen
Viet Hung Doan
Anh Tuan Nguyen
Jun Jo
Quoc Viet Hung Nguyen
LRM
54
0
0
12 Feb 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
56
1
0
12 Dec 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual
  Explanations
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
38
16
0
26 May 2023
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
W. Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
175
86
0
10 Oct 2022
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1