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Jonathan Taylor jonathan-taylor Stanford University Stanford, CA http://statweb.stanford.edu/~jtaylo

jonathan-taylor/formula 10

Formula object for specifying design matrices

jonathan-taylor/Rmagic 9

Rmagic -- a cell magic for the python notebook using R code with python

jonathan-taylor/selective-inference 9

Software for selective inference

jonathan-taylor/profile_stats306b 3

Ipython profile for stats306b

jonathan-taylor/nipy 2

Neuroimaging in python

jonathan-taylor/selective_compare 2

Comparison of approaches to selective inference

dlsun/workbook 1

iPython Notebook + server application for delivering online homeworks

jonathan-taylor/best-subset 1

Comparisons between best subset selection and other popular estimators for sparse regression

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Jonathan Taylor

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BF: should be a relative import, fix bound in piecewise_linear, some indentation

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Jonathan Taylor

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using 3.6

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Jonathan Taylor

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adding tests for weightedl1 to compare with group lasso

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Jonathan Taylor

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added converged method to quasi newton

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removing some 2.7 builds from travis

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Jonathan Taylor

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changing imports for sklearn

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Jonathan Taylor

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BF: fix a divide by zero in root finding for bound form of l1

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Jonathan Taylor

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BF: was using hessian instead of Q in solving equivalent direction problem

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Jonathan Taylor

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erase disctinction between Q and hessian

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Jonathan Taylor

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added bound form of weighted l1 and lagrange form of weighted sup

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jonathan-taylor

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added terms to weighted_l1/sup

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Jonathan Taylor

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less precision in doctest

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BF: remove statsmodells dependency

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Jonathan Taylor

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cleanup of approx reference code

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snigdhagit

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commit changes to test_mle

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snigdhagit

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add approx log reference

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snigdhagit

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added test for pivot b.o. approx reference

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snigdhagit

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added approximate ci b.o. approx reference

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snigdhagit

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sigma instead of sigma_sq while setting scale parameter of posterior samplers

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snigdhagit

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added hiv test: carved posterior interval estimates

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Jonathan Taylor

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changing order of output of log posterior

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Jonathan Taylor

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BF: changing prior as well

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Jonathan Taylor

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BF: two more priors needed changing

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Jonathan Taylor

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matching default prior

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Jonathan Taylor

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using discrete family for approximate grid inference

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Jonathan Taylor

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code cleanup for readability

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Jonathan Taylor

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rename selective MLE method due to signature conflict

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Jonathan Taylor

commit sha 1da37cf61273cd5ed662a64914a46e9cb6b41388

unused grid arguments

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Jonathan Taylor

commit sha 283026212042f53a181f87e6cc6f9bc8054ecc63

moved gaussian query specific methods to that class

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Jonathan Taylor

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Merge branch 'snigdhagit-master' Merging approximate inference on a grid

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Jonathan Taylor

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WIP: newton broken

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Jonathan Taylor

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added a tolerance for determining inside set for when group_weight is 0

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Jonathan Taylor

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fixed unpenalized groups to also check lasso_weights for sparse_group_lasso

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Jonathan Taylor

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storing the loss for later use

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Jonathan Taylor

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using negative deviance

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Jonathan Taylor

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added full results notebook

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Jonathan Taylor

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making output proper deviance

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Jonathan Taylor

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removing debug statement

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Jonathan Taylor

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adding some common penalties to api; BF: sklearn missing initial, some fixes of mean deviance and R2

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Jonathan Taylor

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fix SyntaxWarning

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Jonathan Taylor

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update paths, relative risk

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Jonathan Taylor

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approximate mle examples, along with updated selective-inference repo

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snigdhagit

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added code for selective_mle related outputs

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snigdhagit

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added plots to the examples-MLE file

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Jonathan Taylor

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including sim_xy directly in script

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Jonathan Taylor

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updates on mle script

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Jonathan Taylor

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Merge branch 'master' into snigdhagit-master

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Jonathan Taylor

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adding a dispersion option to Lee et al lasso

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Jonathan Taylor

commit sha c3f38ab13c1a0eeb0f737c38bad574c4b84d195a

a few minor changes to test_cv_mle script -- to be replaced by an example in compare-selection

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Jonathan Taylor

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Merge branch 'snigdhagit-master'

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Jonathan Taylor

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script replaced by a notebook in compare-selection

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Jonathan Taylor

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fixinf change of pval to pvalue

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Jonathan Taylor

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change of lower/upper to lower_confidence/upper_confidence

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Jonathan Taylor

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fixing plot

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Jonathan Taylor

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Merge branch 'master' of https://github.com/jonathan-taylor/compare-selection

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Jonathan Taylor

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update to scripts to run MLE examples

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renaming columns in output

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Jonathan Taylor

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custom directory for snigdha

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Jonathan Taylor

commit sha c3fad9653f0dda14b523e06ee918d3f818f41ba8

using bestsubset instances

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Jonathan Taylor

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adding concatenation

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Jonathan Taylor

commit sha d8968ddfc961bdb39979b646483094bb965f13f6

made a batch script

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Jonathan Taylor

commit sha cea4d047817ddb742c87de49f905a2dd0001e49b

R code for plots

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Jonathan Taylor

commit sha 901350e7e9c480718ddd2ba77655753d04e6ef2a

missing file

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Jonathan Taylor

commit sha 866036ffac3d43ddd26a64ea002fc8c43bdb67a5

ryan sim.R file

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Jonathan Taylor

commit sha 4c14985d90794a5e2dc7046252a5975e87a68722

validation not really used for now

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Jonathan Taylor

commit sha d44a84fa4fe9104525a1450c403c2966bcbac980

selective-inference

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Panigrahi

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added point estimators as methods

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Panigrahi

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added conditional power (mean) in intervals summary

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Panigrahi

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added two separate batch files, mean for relative risk

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Panigrahi

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put premuted columns in right order while summarizing

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Jonathan Taylor

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updating R and python code

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Panigrahi

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commit changes for now

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Jonathan Taylor

commit sha aa8e376a96cd3090e3970006b99123c5ee65261a

updating python code

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Jonathan Taylor

commit sha 03f1d8f727a9c786b456b2f6c09683792fe6740b

Merge pull request #2 from snigdhagit/snigdha_mle added point estimators as methods

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Jonathan Taylor

commit sha 761c9c385e43b749f5258ed66f91064f23a040fd

correcting subset of naive_selected

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Jonathan Taylor

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Merge branch 'master' of https://github.com/jonathan-taylor/compare-selection into snigdha_mle

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Jonathan Taylor

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changes for whoapsi talk'

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PR opened jonathan-taylor/selective-inference

MLE script code
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snigdhagit

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corrected prior

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snigdhagit

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added a local scaling for the Langevin sampler

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added prior var in test

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added both samplers to posterior inference

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snigdhagit

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fixed subgradient in split lasso

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snigdhagit

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posterior samplers-- some changes

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snigdhagit

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added test instances

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Jonathan Taylor

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RF: worked on api for posterior sampling, merged snigdha's changes

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Jonathan Taylor

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Merge branch 'snigdhagit-master'

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able to use degenerate gaussian randomization for e.g. followup LASSO

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Jonathan Taylor

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some cleanup

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Jonathan Taylor

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using data frame summary output

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Jonathan Taylor

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drop the losers query

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Jonathan Taylor

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make sure we get no 0-sized samples

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Jonathan Taylor

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import integer division

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Jonathan Taylor

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Merge pull request #47 from jonathan-taylor/degenerate_random able to use degenerate gaussian randomization for e.g. followup LASSO

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Jonathan Taylor

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import integer division

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make sure we get no 0-sized samples

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Jonathan Taylor

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using data frame summary output

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Jonathan Taylor

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drop the losers query

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Jonathan Taylor

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some cleanup

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