Linear AlgebraAbraham Bosse, Moyen vniuersel de pratiquer la perspectiue sur les tableaux, ou surfaces irregulieres : ensemble quelques particularitez concernant cet art, & celuy de la graueure en taille-douce (1653)
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
Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2023-06-28
Neural vector embeddings Hyperdimensional Computing, Vector Symbolic Architectures, Holographic Reduced Representations 2017-12-20 – 2023-06-13
Recurrent / convolutional / state-space Translating between means of approximating time series dynamics 2016-04-05 – 2023-05-24
Distances between Gaussian distributions Nearly equivalent to distances between symmetric positive definite matrices 2016-06-27 – 2023-05-03
Recursive identification Learning forward dynamics by looking at time series. 2017-09-15 – 2023-04-16
Ensemble Kalman methods Data Assimilation; Data fusion; Sloppy filters for over-ambitious models 2015-06-22 – 2023-03-18
Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09
Transforms of Gaussian noise Delta method, error propagation, unscented transform, Taylor expansion… 2014-11-25 – 2022-12-23
Bayesian inverse problems in function space a.k.a. Bayesian calibration, model uncertainty for PDEs and other wibbly, blobby things 2020-10-13 – 2022-09-26
Ensemble Kalman methods for training neural networks Data assimilation for network weights 2022-09-20
Neural nets with implicit layers Also, declarative networks, bi-level optimization and other ingenious uses of the implicit function theorem 2020-12-08 – 2022-08-09
Gaussian Processes as stochastic differential equations Imposing time on things 2019-09-18 – 2021-11-25
Random fields as stochastic differential equations Precision vs covariance, fight! 2020-10-12 – 2021-03-01
Data dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Emulators and surrogate models via ML Shortcuts in scientific simulation using ML 2020-08-12 – 2020-08-26
Restricted isometry properties Plus incoherence, irrepresentability, and other uncertainty bounds for a sparse world, and maybe frame theory, what’s that now? 2017-06-12 – 2020-03-09
Nearly sufficient statistics How about “Sufficient sufficiency”? — is that taken? 2018-03-13 – 2019-01-14
Linear algebra If the thing is twice as big, the transformed version of the thing is also twice as big. {End} 2011-04-06 – 2018-08-07
Matlab A method of charging you licensing fees to use the CPU you already bought 2016-06-13 – 2017-12-13
