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Learning Controllable Fair Representations

11 December 2018

Papers citing "Learning Controllable Fair Representations"

24 / 24 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 172 1 0 09 May 2025
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 56 53 0 26 Dec 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models Shengjia Zhao Jiaming Song Stefano Ermon DRL GAN 33 20 0 18 Jun 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 684 0 17 Feb 2018
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 85 447 0 07 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 206 747 0 24 May 2017
Optimized Data Pre-Processing for Discrimination Prevention Flavio du Pin Calmon Dennis L. Wei Karthikeyan N. Ramamurthy Kush R. Varshney 53 60 0 11 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,558 0 31 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 76 158 0 28 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 126 1,726 0 01 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 152 676 0 08 Nov 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,120 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 121 1,775 0 19 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 142 1,823 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 275 78 0 26 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 479 2,573 0 25 Jan 2016
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 66 506 0 18 Nov 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 634 0 03 Nov 2015
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 133 49 0 19 Jul 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 73 196 0 21 May 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 233 2,363 0 15 May 2008