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Javier González

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TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Nov 06, 2023
Javier González, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

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Beyond Words: A Mathematical Framework for Interpreting Large Language Models

Nov 06, 2023
Javier González, Aditya V. Nori

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TRIALSCOPE A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Nov 02, 2023
Javier González, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

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Dynamic Causal Bayesian Optimization

Oct 26, 2021
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

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BayesIMP: Uncertainty Quantification for Causal Data Fusion

Jun 07, 2021
Siu Lun Chau, Jean-François Ton, Javier González, Yee Whye Teh, Dino Sejdinovic

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Multi-task Causal Learning with Gaussian Processes

Sep 27, 2020
Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González

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Structure Mapping for Transferability of Causal Models

Jul 18, 2020
Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau

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Learning Inconsistent Preferences with Kernel Methods

Jun 06, 2020
Siu Lun Chau, Javier González, Dino Sejdinovic

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Causal Bayesian Optimization

May 26, 2020
Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González

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Bandit optimisation of functions in the Matérn kernel RKHS

Mar 02, 2020
David Janz, David R. Burt, Javier González

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