Publications

My main publications in reversed chronological order.

2025

  1. preview_u_ensembles.png
    U -ensembles: Improved diversity in the small data regime using unlabeled data
    Konstantinos Pitas, Hani Anouar Bourrous, and Julyan Arbel
    In 7th Symposium on Advances in Approximate Bayesian Inference Proceedings Track, 2025

2024

  1. preview_rephrase_queries.png
    Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries
    Adam Yang, Chen Chen, and Konstantinos Pitas
    Neurips 2024 Workshop Socially Responsible Language Modelling Research (SoLaR), 2024
    arXiv

2023

  1. A primer on Bayesian neural networks: review and debates
    Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, and 1 more author
    stat 1050, 28, 2023
    arXiv
  2. preview_fine_print.png
    The fine print on tempered posteriors
    Konstantinos Pitas, and Julyan Arbel
    The 15th Asian Conference in Machine Learning, ACML, PMLR 2023, 2023
    arXiv

2022

  1. preview_cold_posteriors.png
    Cold Posteriors through PAC-Bayes
    Konstantinos Pitas, and Julyan Arbel
    NeurIPS 2022 Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML 2022), 2022
    arXiv

2020

  1. preview_dissecting.png
    Dissecting non-vacuous generalization bounds based on the mean-field approximation
    Konstantinos Pitas
    In International Conference on Machine Learning, 2020

2019

  1. preview_the_role_of_invariance.png
    The role of invariance in spectral complexity-based generalization bounds
    Konstantinos Pitas, Andreas Loukas, Mike Davies, and 1 more author
    NeurIPS 2019 Workshop on Machine Learning with Guarantees, Vancouver, Canada., 2019
    arXiv