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Javier González

Beyond Words: A Mathematical Framework for Interpreting Large Language Models

Nov 06, 2023
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TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

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Nov 06, 2023
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Dynamic Causal Bayesian Optimization

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Oct 26, 2021
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BayesIMP: Uncertainty Quantification for Causal Data Fusion

Jun 07, 2021
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Multi-task Causal Learning with Gaussian Processes

Sep 27, 2020
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Structure Mapping for Transferability of Causal Models

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Jul 18, 2020
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Learning Inconsistent Preferences with Kernel Methods

Jun 06, 2020
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Causal Bayesian Optimization

May 26, 2020
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Bandit optimisation of functions in the Matérn kernel RKHS

Mar 02, 2020
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BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization

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Feb 04, 2020
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