functional_analysis

Hyperparameter optimization Replacing a hyperparameter problem with a hyperhyperparameter problem which feels like progress 2020-09-25 – 2023-05-12
Optimal transport inference I feel the earth mover under my feet, I feel the ψ tumbling down, I feel my heart start to trembling, whenever you’re around (my barycentre) 2021-03-16 – 2023-05-03
Deep sets invariant and equivariant functions 2022-11-24 – 2023-03-21
Signal sampling Discrete representation of continuous signals and converse 2017-05-30 – 2022-06-24
Meta learning Few-shot learning, learning fast weights, learning to learn 2021-09-16
Stein’s method His eyes are like angels but his heart is cold / No need to ask / He’s a Stein operator 2021-03-12 – 2021-06-01
Differentiable model selection Differentiable hyperparameter search, and architecture search, and optimisation optimisation by optimisation and so on 2020-09-25 – 2021-04-13
AutoML 2017-07-17 – 2020-10-02
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
Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23
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
Random change of time Stochastic processes derived by varying the rate of time’s passage, which is more convenient than I imagined 2015-08-05 – 2020-02-10
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
Statistical learning theory Eventually including structural risk minimisation, risk bounds, hopefully-uniform convergence rates, VC-dimension, generalisation-and-stability framings etc 2016-07-06 – 2016-08-16