Fairness without the sensitive attribute via Causal Variational Autoencoder

10 September 2021

Papers citing "Fairness without the sensitive attribute via Causal Variational Autoencoder"

25 / 25 papers shown

Title
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 150 0 0 31 Dec 2024
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 75 87 0 03 Feb 2021
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 43 21 0 07 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 47 23 0 30 Aug 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 121 338 0 23 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 485 10,591 0 17 Feb 2020
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 62 58 0 14 Jul 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 58 70 0 24 Jun 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 936 0 01 Feb 2019
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved Jiahao Chen Nathan Kallus Xiaojie Mao G. Svacha Madeleine Udell 51 235 0 27 Nov 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 72 180 0 30 Jun 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 55 71 0 28 Jun 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 113 584 0 20 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 209 309 0 15 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 57 152 0 08 Jun 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 684 0 17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 199 1,390 0 22 Jan 2018
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 95 447 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 209 747 0 24 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,584 0 20 Mar 2017
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
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 112 3,150 0 21 Jul 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 915 0 06 Feb 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,364 0 19 Nov 2015