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ComplAI: Theory of A Unified Framework for Multi-factor Assessment of
  Black-Box Supervised Machine Learning Models

ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models

30 December 2022
Arkadipta De
Satya Swaroop Gudipudi
Sourab Panchanan
M. Desarkar
    FaML
ArXivPDFHTML

Papers citing "ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models"

5 / 5 papers shown
Title
Counterfactual Explanation Algorithms for Behavioral and Textual Data
Counterfactual Explanation Algorithms for Behavioral and Textual Data
Yanou Ramon
David Martens
F. Provost
Theodoros Evgeniou
FAtt
76
88
0
04 Dec 2019
Efficient Search for Diverse Coherent Explanations
Efficient Search for Diverse Coherent Explanations
Chris Russell
48
236
0
02 Jan 2019
Explanations based on the Missing: Towards Contrastive Explanations with
  Pertinent Negatives
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
89
587
0
21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
65
2,332
0
01 Nov 2017
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
120
1,978
0
11 Dec 2014
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