Machine Learning – Publications
Fairness Constraints: A Flexible Approach for Fair Classification Journal Article
In: J. Mach. Learn. Res., vol. 20, pp. 75:1–75:42, 2019.
One-Network Adversarial Fairness Proceedings Article
In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, pp. 2412–2420, AAAI Press, 2019.
Automatic Bayesian Density Analysis Proceedings Article
In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, pp. 5207–5215, AAAI Press, 2019.
Improving Consequential Decision Making under Imperfect Predictions Journal Article
In: CoRR, vol. abs/1902.02979, 2019.
A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder Journal Article
In: CoRR, vol. abs/1903.02642, 2019.
Out-of-Sample Testing for GANs Journal Article
In: CoRR, vol. abs/1901.09557, 2019.
Improved BiGAN training with marginal likelihood equalization Journal Article
In: CoRR, vol. abs/1911.01425, 2019.
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation Journal Article
In: IEEE Trans. Cogn. Commun. Netw., vol. 4, no. 2, pp. 177–191, 2018.
Enhancing the Accuracy and Fairness of Human Decision Making Proceedings Article
In: Bengio, Samy; Wallach, Hanna M.; Larochelle, Hugo; Grauman, Kristen; Cesa-Bianchi, Nicolò; Garnett, Roman (Ed.): Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, pp. 1774–1783, 2018.
Boosting Black Box Variational Inference Proceedings Article
In: Bengio, Samy; Wallach, Hanna M.; Larochelle, Hugo; Grauman, Kristen; Cesa-Bianchi, Nicolò; Garnett, Roman (Ed.): Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, pp. 3405–3415, 2018.
Handling Incomplete Heterogeneous Data using VAEs Journal Article
In: CoRR, vol. abs/1807.03653, 2018.
Distance Correlation Autoencoder Proceedings Article
In: 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1–8, IEEE, 2018.
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections Journal Article
In: CoRR, vol. abs/1811.03166, 2018.
Deep Variational Sufficient Dimensionality Reduction Journal Article
In: CoRR, vol. abs/1812.07641, 2018.
Fairness Constraints: Mechanisms for Fair Classification Proceedings Article
In: Singh, Aarti; Zhu, Xiaojin (Jerry) (Ed.): Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, pp. 962–970, PMLR, 2017.
Automatic Discovery of the Statistical Types of Variables in a Dataset Proceedings Article
In: Precup, Doina; Teh, Yee Whye (Ed.): Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 3521–3529, PMLR, 2017.
From Parity to Preference-based Notions of Fairness in Classification Proceedings Article
In: Guyon, Isabelle; Luxburg, Ulrike; Bengio, Samy; Wallach, Hanna M.; Fergus, Rob; Vishwanathan, S. V. N.; Garnett, Roman (Ed.): Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, pp. 229–239, 2017.
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge Proceedings Article
In: Rijke, Maarten; Shokouhi, Milad; Tomkins, Andrew; Zhang, Min (Ed.): Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, pp. 61–70, ACM, 2017.
Distilling Information Reliability and Source Trustworthiness from Digital Traces Proceedings Article
In: Barrett, Rick; Cummings, Rick; Agichtein, Eugene; Gabrilovich, Evgeniy (Ed.): Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pp. 847–855, ACM, 2017.
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Proceedings Article
In: Barrett, Rick; Cummings, Rick; Agichtein, Eugene; Gabrilovich, Evgeniy (Ed.): Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pp. 1171–1180, ACM, 2017.