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Certifying Fairness of Probabilistic Circuits

Certifying Fairness of Probabilistic Circuits

5 December 2022
Nikil Selvam
Guy Van den Broeck
YooJung Choi
    FaML
    TPM
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Papers citing "Certifying Fairness of Probabilistic Circuits"

21 / 21 papers shown
Title
Lossless Compression with Probabilistic Circuits
Lossless Compression with Probabilistic Circuits
Hoang Trung-Dung
Stephan Mandt
Guy Van den Broeck
TPM
39
21
0
23 Nov 2021
Algorithmic Fairness Verification with Graphical Models
Algorithmic Fairness Verification with Graphical Models
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
FaML
45
19
0
20 Sep 2021
Retiring Adult: New Datasets for Fair Machine Learning
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding
Moritz Hardt
John Miller
Ludwig Schmidt
126
445
0
10 Aug 2021
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
79
38
0
14 Sep 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic
  Circuits
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz
Steven Braun
Antonio Vergari
Karl Stelzner
Alejandro Molina
Martin Trapp
Guy Van den Broeck
Kristian Kersting
Zoubin Ghahramani
TPM
34
123
0
13 Apr 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating
  Discrimination Patterns
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
YooJung Choi
G. Farnadi
Behrouz Babaki
Guy Van den Broeck
FaML
41
27
0
10 Jun 2019
Probabilistic Verification of Fairness Properties via Concentration
Probabilistic Verification of Fairness Properties via Concentration
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaML
FedML
24
70
0
02 Dec 2018
Aequitas: A Bias and Fairness Audit Toolkit
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
64
320
0
14 Nov 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and
  Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
...
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
78
803
0
03 Oct 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
33
133
0
07 Sep 2018
Fairness Testing: Testing Software for Discrimination
Fairness Testing: Testing Software for Discrimination
Sainyam Galhotra
Yuriy Brun
A. Meliou
51
376
0
11 Sep 2017
On Relaxing Determinism in Arithmetic Circuits
On Relaxing Determinism in Arithmetic Circuits
Arthur Choi
Adnan Darwiche
18
56
0
22 Aug 2017
Fair Inference On Outcomes
Fair Inference On Outcomes
Razieh Nabi
I. Shpitser
FaML
30
349
0
29 May 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
30
990
0
27 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
280
2,098
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
91
4,276
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
95
1,978
0
11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice,
  and Discrimination
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
Amit Datta
Michael Carl Tschantz
Anupam Datta
37
731
0
27 Aug 2014
A Differential Approach to Inference in Bayesian Networks
A Differential Approach to Inference in Bayesian Networks
Adnan Darwiche
TPM
53
619
0
16 Jan 2013
Sum-Product Networks: A New Deep Architecture
Sum-Product Networks: A New Deep Architecture
Hoifung Poon
Pedro M. Domingos
TPM
49
757
0
14 Feb 2012
A Knowledge Compilation Map
A Knowledge Compilation Map
Adnan Darwiche
Pierre Marquis
51
948
0
09 Jun 2011
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