Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2212.14599
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models"
8 / 8 papers shown
Title
Counterfactual Explanation Algorithms for Behavioral and Textual Data
Yanou Ramon
David Martens
F. Provost
Theodoros Evgeniou
FAtt
78
88
0
04 Dec 2019
Efficient Search for Diverse Coherent Explanations
Chris Russell
53
236
0
02 Jan 2019
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
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
59
466
0
31 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
73
2,332
0
01 Nov 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
168
8,513
0
16 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
582
16,828
0
16 Feb 2016
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
129
1,978
0
11 Dec 2014
1