convolution - Dan MacKinlay

Polynomial bases 2021-01-29 – 2023-07-28

Recurrent / convolutional / state-space Translating between means of approximating time series dynamics 2016-04-05 – 2023-05-24

Canonical correlation 2014-08-23 – 2023-05-17

Probabilistic neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-04-27

Last-layer Bayes neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2023-02-09

Learning Gamelan 2016-04-05 – 2022-08-05

Probabilistic neural nets Inferring distributions in neural nets 2017-01-11 – 2022-04-07

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

Karhunen-Loève expansions 2019-09-16 – 2022-02-01

Discrete time Fourier and related transforms Also, chirplets, z-transforms, chromatic derivatives… 2019-10-17 – 2019-10-17

Density estimation Especially non- or semiparametrically 2016-06-06 – 2019-10-16

Functional equations Putting the funk in functions 2017-02-06 – 2017-02-19

Kernel density estimators 2016-03-05 – 2016-08-18

Blind deconvolution 2015-03-01 – 2016-07-27

Clustering 2015-05-22 – 2016-06-07

Deconvolution 2015-04-19 – 2016-04-11