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Theodoros Damoulas

Towards Computing an Optimal Abstraction for Structural Causal Models

Aug 01, 2022
Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas

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* 6 pages, 5 pages appendix, 2 figures Submitted to Causal Representation Learning workshop at the 38th Conference on Uncertainty in Artificial Intelligence (UAI CRL 2022)

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Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap

Feb 23, 2022
Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol

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* Accepted for publication (with an oral presentation) at AISTATS 2022. A preliminary version of this paper was accepted in the NeurIPS 2021 workshop "Your Model is Wrong: Robustness and misspecification in probabilistic modeling". v2: added some references

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Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes

Sep 29, 2021
Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Hovarth, Theodoros Damoulas, Terry Lyons

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* Published at NeurIPS 2021

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