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20212026
most citedAuditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles

57 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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5 papers · 1 filter

cs.LG2023★ 12 cited

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness

Branislav Pecher, Ivan Srba, Maria Bielikova

Learning with limited labelled data, such as prompting, in-context learning, fine-tuning, meta-learning or few-shot learning, aims to effectively train a model using only a small a…

cs.LG2023★ 38 cited

Expert enhanced dynamic time warping based anomaly detection

Matej Kloska, Gabriela Grmanova, Viera Rozinajova

Dynamic time warping (DTW) is a well-known algorithm for time series elastic dissimilarity measure. Its ability to deal with non-linear time distortions makes it helpful in variety…

cs.LG2023★ 1 cited

Learning Action Embeddings for Off-Policy Evaluation

Matej Cief, Jacek Golebiowski, Philipp Schmidt +2

Off-policy evaluation (OPE) methods allow us to compute the expected reward of a policy by using the logged data collected by a different policy. OPE is a viable alternative to run…

cs.LG2022

Pessimistic Off-Policy Optimization for Learning to Rank

Matej Cief, Branislav Kveton, Michal Kompan

Off-policy learning is a framework for optimizing policies without deploying them, using data collected by another policy. In recommender systems, this is especially challenging du…

cs.LG2022★ 3 cited

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators

Matej Kloska, Viera Rozinajova

This paper deals with symbolic time series representation. It builds up on the popular mapping technique Symbolic Aggregate approXimation algorithm (SAX), which is extensively util…