high_d

Low-rank matrices 2014-08-05 – 2023-09-29

Matrix inverses 2014-08-05 – 2023-09-29

Orthonormal and unitary matrices Energy preserving operators, generalized rotations 2019-10-22 – 2023-09-19

Nearly-low-rank Hermitian matrices a.k.a. perturbations of the identity, low-rank-plus-diagonal matrices 2014-08-05 – 2023-09-13

The Gaussian distribution The default probability distribution 2016-06-27 – 2023-07-19

Neural vector embeddings Hyperdimensional Computing, Vector Symbolic Architectures, Holographic Reduced Representations 2017-12-20 – 2023-06-13

Tabular data processing in python CSV to Data lake 2020-11-30 – 2023-05-29

Singular Value Decomposition The ML workhorse 2014-08-05 – 2023-05-23

Matrix square roots Whitening, preconditioning etc 2014-08-05 – 2023-05-13

Distances between Gaussian distributions Nearly equivalent to distances between symmetric positive definite matrices 2016-06-27 – 2023-05-03

Optimal rotations 2021-05-18 – 2023-04-06

Elliptical distributions 2015-06-23 – 2023-01-03

Bayesian sparsity 2019-01-08 – 2022-10-25

Randomised linear algebra 2016-08-16 – 2022-10-22

Semantics Compressed representations of reality for syntactic agents; which might be what meaning means 2014-12-29 – 2022-08-28

Recommender systems 2020-11-30 – 2022-08-15

Sparse coding Wavelets, matching pursuit, overcomplete dictionaries… 2014-11-17 – 2022-03-07

Matrix-valued random variates 2021-12-01 – 2022-01-06

Random rotations 2021-05-18 – 2021-12-01

High dimensional statistics 2015-03-12 – 2021-10-28

Learning on tabular data 2020-11-30 – 2021-06-21

Isotropic random vectors 2011-08-10 – 2021-05-24

Sparse model selection 2016-09-05 – 2020-10-02

Learnable indexes and hashes 2018-01-12 – 2020-02-18