3 papers
cs.LG2023
Exact Non-Oblivious Performance of Rademacher Random Embeddings
Maciej Skorski, Alessandro Temperoni
This paper revisits the performance of Rademacher random projections, establishing novel statistical guarantees that are numerically sharp and non-oblivious with respect to the inp…
cs.CL2022
Enriching Relation Extraction with OpenIE
Alessandro Temperoni, Maria Biryukov, Martin Theobald
Relation extraction (RE) is a sub-discipline of information extraction (IE) which focuses on the prediction of a relational predicate from a natural-language input unit (such as a…
cs.LG2022
Robust and Provable Guarantees for Sparse Random Embeddings
Maciej Skorski, Alessandro Temperoni, Martin Theobald
In this work, we improve upon the guarantees for sparse random embeddings, as they were recently provided and analyzed by Freksen at al. (NIPS'18) and Jagadeesan (NIPS'19). Specifi…