4 papers
Non-negative Elastic Net Decoding for Information Retrieval
Koki Okajima, Yasutoshi Ida, Tsukasa Yoshida +1
Dense retrieval has become the dominant paradigm in information retrieval, in which each document is scored against a query by the inner product of their vector embeddings, and the…
What Limits Does Quantization Place on Dense Top- Retrieval? A Theoretical Study
Koki Okajima, Tsukasa Yoshida
We establish conditions for embedding a corpus of documents as -dimensional vectors such that every -subset is realizable as a result of top- retriev…
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier, Francesco Camilli, Justin Ko +1
Matrix denoising is central to signal processing and machine learning. Its statistical analysis when the matrix to infer has a factorised structure with a rank growing proportional…
Transfer Learning in Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
Koki Okajima, Tomoyuki Obuchi
Transfer learning techniques aim to leverage information from multiple related datasets to enhance prediction quality against a target dataset. Such methods have been adopted in th…