Yuga Hikida
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Yuga Hikida

Doctoral Researcher in Probabilistic ML

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I am a doctoral researcher in the Probabilistic Machine Learning group at Aalto University, working on Simulation-Based Inference (SBI), advised by Ayush Bharti (Aalto) and François-Xavier Briol (UCL).

In many real-world problems arising in industry and science, the likelihood function is unavailable, which poses a major challenge to the application of traditional Bayesian inference. SBI overcomes this limitation by enabling Bayesian inference without direct access to the likelihood. My research focuses on two key aspects of SBI: (1) efficiency, aiming to reduce the number of required data, and (2) robustness, by detecting and/or mitigating the impact of model misspecification on inference quality.

Click here to see my CV.


Interests

Bayesian Experimental Design
Simulation-Based Inference
Amortized Inference

Education

PhD in Computer Science
Aalto University, Finland, 2025-2028

MSc in Econometrics
TU Dortmund, Germany, 2022-2024

BSc in Economics
University of Sussex, UK, 2018-2022

© 2024 Yuga Hikida.

 

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