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Explicit-Duration Markov Switching Models

Sep 12, 2019
Silvia Chiappa

* Foundations and Trends in Machine Learning, Volume 7, Issue 6, pages 803-886, 2014 

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Wasserstein Fair Classification

Jul 28, 2019
Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa

* Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019 

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Unsupervised Separation of Dynamics from Pixels

Jul 20, 2019
Silvia Chiappa, Ulrich Paquet

* METRON, Springer, 2019 

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A Causal Bayesian Networks Viewpoint on Fairness

Jul 15, 2019
Silvia Chiappa, William S. Isaac

* Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data. IFIP Advances in Information and Communication Technology, vol 547. Springer, Cham, 2019 

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Meta-learning of Sequential Strategies

May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

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Degenerate Feedback Loops in Recommender Systems

Mar 27, 2019
Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli

* Proceedings of AAAI/ACM Conference on AI, Ethics, and Society, Honolulu, HI, USA, January 27-28, 2019 (AIES '19) 

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Causal Reasoning from Meta-reinforcement Learning

Jan 23, 2019
Ishita Dasgupta, Jane Wang, Silvia Chiappa, Jovana Mitrovic, Pedro Ortega, David Raposo, Edward Hughes, Peter Battaglia, Matthew Botvinick, Zeb Kurth-Nelson


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Path-Specific Counterfactual Fairness

Feb 22, 2018
Silvia Chiappa, Thomas P. S. Gillam


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Recurrent Environment Simulators

Apr 19, 2017
Silvia Chiappa, Sébastien Racaniere, Daan Wierstra, Shakir Mohamed


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Unified Treatment of Hidden Markov Switching Models

Apr 11, 2011
Silvia Chiappa


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