1. MILIOS Dimitrios
  2. MILIOS Dimitrios
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MILIOS Dimitrios

Talk

Milios, Dimitrios

Recipes for Bayesian deep learning

Seminar "Recipes for Bayesian Deep Learning", 24 March 2025, Athens, Greece
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Conférence

Kozyrskiy, Bogdan; Milios, Dimitrios; Filippone, Maurizio

Imposing functional priors on Bayesian neural networks

ICPRAM 2023, 12th International Conference on Pattern Recognition Applications and Methods, 22-24 February 2023, Lisbon, Portugal
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Kozyrskiy, Bogdan; Milios, Dimitrios; Filippone, Maurizio

Variational bootstrap for classification

KES 2022, 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 7-9 September 2022, Verona, Italy / Also published in Procedia Computer Science, Vol. 207
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Conférence

Franzese, Giulio; Milios, Dimitrios; Filippone, Maurizio; Michiardi, Pietro

Revisiting the effects of stochasticity for Hamiltonian samplers

ICML 2022, 39th International Conference on Machine Learning, 17-23 July, 2022, Baltimore, USA
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Journal

Tran, Ba-Hien; Rossi, Simone; Milios, Dimitrios; Filippone, Maurizio

All you need is a good functional prior for Bayesian deep learning

Journal of Machine Learning Research (JMLR), 2022, Vol.23 / Also presented at NeurIps 2022, 36th Conference on Neural Information Processing Systems, 28 November 2022, New Orleans, USA
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Tran, Ba-Hien; Rossi, Simone; Milios, Dimitrios; Michiardi, Pietro; Bonilla, Edwin V; Filippone, Maurizio

Model selection for Bayesian autoencoders

IS 2022, SIAM Conference on Imaging Science 2022, 23 March 2022
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Tran, Ba-Hien; Rossi, Simone; Milios, Dimitrios; Michiardi, Pietro; Bonilla, Edwin V.; Filippone, Maurizio

Model selection for Bayesian autoencoders

NeurIPS 2021, 35th Conference on Neural Information Processing Systems, 6-14 December 2021 (Virtual Event)
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Franzese, Giulio; Milios, Dimitrios; Filippone, Maurizio; Michiardi, Pietro

A scalable Bayesian sampling method based on stochastic gradient descent isotropization

Entropy, Vol.23, N°11, 28 October 2021
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Poster / Demo

Tran, Gia-Lac; Dimitrios, Milios; Michiardi, Pietro; Filippone, Maurizio

Sparse within sparse gaussian processes using neighbor information

ICML 2021, 38th International Conference on Machine Learning, 18-24 July, 2021 (Virtual Conference)

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Conférence

Tran, Ba-Hien; Milios, Dimitrios; Rossi, Simone; Filippone, Maurizio

Functional priors for bayesian neural networks through wasserstein distance minimization to Gaussian processes

AABI 2021, 3rd Symposium on Advances in Approximate Bayesian Inference, January-February 2021 (Virtual Event)
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