• Virginia Aglietti
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    I am a Research Scientist at DeepMind.

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    • Aglietti V., Dhir N., González J. and Damoulas T. (2021). Dynamic Causal Bayesian Optimization, Neural Information Processing Systems (NeurIPS) 2021.
    • Aglietti V., Damoulas T., Alvarez A.M., & González J. (2020). Multi-task Causal Learning with Gaussian Processes, Neural Information Processing Systems (NeurIPS) 2020.
    • Aglietti V., Lu X., Paleyes A., & González J. (2020). Causal Bayesian Optimization, International Conference on Artificial Intelligence and Statistics (AISTATS) 2020.
    • Aglietti V., Bonilla E., Damoulas T. & Cripps S. (2019). Structured Variational Inference in Continuous Cox Process Models, Neural Information Processing Systems (NeurIPS) 2019.
    • Aglietti V., Damoulas T. & Bonilla E. (2019). Efficient Inference in Multi-task Cox Process Models, International Conference on Artificial Intelligence and Statistics (AISTATS) 2019.
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