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Silvia Chiappa
Silvia Chiappa
Senior Staff Research Scientist, Google DeepMind; Honorary Professor, UCL
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Bayesian time series models
D Barber, AT Cemgil, S Chiappa
Cambridge University Press, 2011
3892011
Path-specific counterfactual fairness
S Chiappa
AAAI Conference on Artificial Intelligence (AAAI), 7801-7808, 2019
3342019
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
International Conference on Learning Representations (ICLR), 2017
2232017
Degenerate feedback loops in recommender systems
R Jiang, S Chiappa, T Lattimore, A Agyorgy, P Kohli
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
2182019
Wasserstein fair classification
R Jiang, A Pacchiano, T Stepleton, H Jiang, S Chiappa
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
1812019
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
S Chiappa, S Bengio
12th European Symposium on Artificial Neural Networks (ESANN), 199-204, 2004
1432004
Fairness in machine learning
L Oneto, S Chiappa
Recent trends in learning from data: Tutorials from the inns big data and …, 2020
1332020
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
1222019
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
842019
A causal Bayesian networks viewpoint on fairness
S Chiappa, WS Isaac
Privacy and Identity Management. Fairness, Accountability, and Transparency …, 2019
822019
A General Approach to Fairness with Optimal Transport
S Chiappa, R Jiang, T Stepleton, A Pacchiano, H Jiang, J Aslanides
AAAI Conference on Artificial Intelligence (AAAI 2020), 3633-3640, 2020
70*2020
Unified inference for variational Bayesian linear Gaussian state-space models
D Barber, S Chiappa
Advances in Neural Information Processing Systems (NeurIPS), 81-88, 2007
692007
Movement extraction by detecting dynamics switches and repetitions
S Chiappa, JR Peters
Advances in Neural Information Processing Systems (NeurIPS), 388-396, 2010
622010
EEG classification using generative independent component analysis
S Chiappa, D Barber
Neurocomputing 69 (7-9), 769-777, 2006
572006
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications
J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ...
arXiv preprint arXiv:2202.01034, 2022
372022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ...
Advances in Neural Information Processing Systems (NeurIPS 2022), 19304-19318, 2022
362022
Learning to induce causal structure
NR Ke, S Chiappa, J Wang, J Bornschein, T Weber, A Goyal, M Botvinic, ...
International Conference on Learning Representations (ICLR 2023), 2022
342022
Explicit-duration Markov switching models
S Chiappa
Foundations and Trends in Machine Learning, 2019
28*2019
Using Bayesian dynamical systems for motion template libraries
S Chiappa, J Kober, JR Peters
Advances in Neural Information Processing Systems (NeurIPS), 297-304, 2009
272009
Spatial filtering in the training process of a brain computer interface
J Mouriño, J del R Millan, F Cincotti, S Chiappa, R Jané, F Babiloni
2001 Conference Proceedings of the 23rd Annual International Conference of …, 2001
262001
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Articles 1–20