About me

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Doctoral Researcher

I am Marshal Sinaga, a doctoral researcher at Aalto probabilistic machine learning group. It’s my honor to be supervised by Samuel Kaski and Vikas Garg . During my doctoral program, I am fully funded by Finnish Center for Artificial Intelligence (FCAI) . Previously, I was a research assistant at Department of System Engineering and Engineering Management CUHK (with Viet Anh Nguyen ) and Aalto ML research group (with Arno Solin ). I obtained my bachelor’s and master’s degrees from the faculty of computer science, University of Indonesia.

My primary focus lies in probabilistic machine learning, particularly in the realm of Bayesian optimization. Within this domain, I delve into various facets, including human-in-the-loop settings, noisy information, model misspecification, and covariate shift.

For to me, to live is Christ and to die is gain.

Interests

  • Bayesian optimization
  • Gaussian process
  • Bayesian neural network

Education

  • Doctoral degree in Computer Science, June 2023 - Now

    Aalto University, FCAI

  • Master degree in Computer Science, Feb 2022

    University of Indonesia

  • Bachelor degree in Computer Science, Aug 2020

    University of Indonesia

News

Oct 10, 2024 Computation-Aware Robust Gaussian Processes to be appeared at NeurIPS workshop on Bayesian Decision-making and Uncertainty.
Jun 25, 2024 Attending ELLIS Robust ML Workshop (June 27 - 28, 2024) and CoGenAI summer school (July 1 - 5, 2024).
Jun 7, 2024 Attending Approximate Inference in Theory and Practice Conference from 10 to 11 June at Institut Henri Poincare, Paris.
May 30, 2024 New post: A Deep Dive into the Regret Bound of GP-UCB Optimization .
May 22, 2024 A new preprint is under review. This is the extension work of our workshop paper .

Selected publications

  1. preprint
    Preferential Heteroscedastic Bayesian Optimization with Informative Noise Distribution
    Sinaga, Marshal, Martinelli, Julien, Garg, Vikas, and Kaski, Samuel
    2024

Contact