The Living Thing / Notebooks
:
Convergence of random variables
β
2019-12-03
β¦
2019-12-03
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Sparse regression
β
2016-06-23
β¦
2019-10-24
π§
π‘
π€ͺ π€ͺ
π§ π§ π§
Model selection and inference for time series
β
2019-07-21
β¦
2019-10-01
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Statistical learning theory for time series
β
2016-11-03
β¦
2019-10-01
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Measure concentration inequalities
β
[ On being 80% sure you are only 20% wrong ]
β
2014-11-25
β¦
2019-09-19
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Bayesian model selection
β
2017-08-20
β¦
2019-07-22
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Optimisation of model functions for experiment design
β
[ Surrogate optimisation methods for optimising optimisations ]
β
2017-04-11
β¦
2019-07-18
π§
π‘
π€ͺ π€ͺ
π§ π§ π§
Data summarization
β
[ On maps drawn at smaller than 1:1 scale ]
β
2019-01-14
β¦
2019-01-14
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Nearly sufficient statistics
β
[ How about βSufficient sufficiencyβ? β is that taken? ]
β
2018-03-13
β¦
2019-01-14
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Bayesian sparsity
β
2019-01-08
β¦
2019-01-08
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Multiple testing
β
2015-04-22
β¦
2018-11-05
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
AutoML
β
[ hyperparameter selection with the use of yet more hyperparameters ]
β
2017-07-17
β¦
2017-08-30
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Post-selection inference
β
[ Adaptive data analysis without cheating ]
β
2017-08-20
β¦
2017-08-20
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Model/hyperparameter selection
β
2016-04-15
β¦
2017-08-20
π§
π‘
π€ͺ π€ͺ
π§ π§ π§
Model averaging
β
[ On keeping many incorrect hypotheses and using them all as one goodish one ]
β
2017-06-20
β¦
2017-07-04
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Generalisation in neural networks
β
[ Generalisation for street fighters ]
β
2017-02-12
β¦
2017-06-20
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Compressed sensing / compressed sampling
β
[ The fanciest ways of counting zero ]
β
2014-08-18
β¦
2017-06-14
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Model complexity penalties
β
[ Information criteria, degrees of freedom etc ]
β
2015-04-22
β¦
2017-05-03
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Independence, conditional, statistical
β
2016-04-21
β¦
2017-02-15
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Effective sample size
β
2016-11-21
β¦
2017-02-07
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
M-estimation
β
2016-07-11
β¦
2016-10-10
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Stability (in learning)
β
2016-05-25
β¦
2016-10-05
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Cross Validation
β
2016-09-05
β¦
2016-09-27
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Penalised/regularised regression
β
2016-06-23
β¦
2016-09-15
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Sparse model selection
β
2016-09-05
β¦
2016-09-08
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§
Statistical learning theory
β
[ Eventually including structural risk minimisation, risk bounds, hopefully-uniform convergence rates, VC-dimension, generalisation-and-stability framings etc ]
β
2016-07-06
β¦
2016-08-16
π§
π‘
π€ͺ π€ͺ π€ͺ
π§ π§ π§