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M. Fil

4 papers hereh-index 394 citations6 works total

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

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-fin.TR1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedSpeedy Performance Estimation for Neural Architecture Search

13 citations · 22 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2021★ 9 cited

Beta-VAE Reproducibility: Challenges and Extensions

Miroslav Fil, Munib Mesinovic, Matthew Morris +1

β-VAE is a follow-up technique to variational autoencoders that proposes special weighting of the KL divergence term in the VAE loss to obtain disentangled representations. Unsup…

cs.LG2021

DARTS without a Validation Set: Optimizing the Marginal Likelihood

Miroslav Fil, Binxin Ru, Clare Lyle +1

The success of neural architecture search (NAS) has historically been limited by excessive compute requirements. While modern weight-sharing NAS methods such as DARTS are able to f…

q-fin.TR2020

Gold Standard Pairs Trading Rules: Are They Valid?

Miroslav Fil

Pairs trading is a strategy based on exploiting mean reversion in prices of securities. It has been shown to generate significant excess returns, but its profitability has dropped…

stat.ML2020★ 13 cited

Speedy Performance Estimation for Neural Architecture Search

Binxin Ru, Clare Lyle, Lisa Schut +3

Reliable yet efficient evaluation of generalisation performance of a proposed architecture is crucial to the success of neural architecture search (NAS). Traditional approaches fac…

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