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Miguel L. Rodrigues

12 papers hereh-index 8624 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author8

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.IT2
  • cs.AR1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedOn the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

3 citations · 12 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.IT2022★ 2 cited

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?

Haiyun He, Gholamali Aminian, Yuheng Bu +2

We provide an exact characterization of the expected generalization error (gen-error) for semi-supervised learning (SSL) with pseudo-labeling via the Gibbs algorithm. The gen-error…

cs.LG2022

Semi-supervised Batch Learning From Logged Data

Gholamali Aminian, Armin Behnamnia, Roberto Vega +5

Off-policy learning methods are intended to learn a policy from logged data, which includes context, action, and feedback (cost or reward) for each sample point. In this work, we b…

cs.LG2022

Simple Regularisation for Uncertainty-Aware Knowledge Distillation

Martin Ferianc, Miguel Rodrigues

Considering uncertainty estimation of modern neural networks (NNs) is one of the most important steps towards deploying machine learning systems to meaningful real-world applicatio…

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