Minimum Probability Flow learning (MPF)
================================
MPF is a technique for parameter estimation in un-normalized probabilistic models. It is described in the paper:
> J Sohl-Dickstein, P Battaglino, MR DeWeese<br>
> Minimum probability flow learning<br>
> International Conference on Machine Learning (2011)<br>
> http://arxiv.org/abs/0906.4779
This repository contains Matlab code implementing MPF for the Ising model and the RBM. The directory structure is as follows:
- **MPF_ising/** - parameter estimation in the Ising model
- **MPF_RBM_compare_log_likelihood/** - parameter estimation in
Restricted Boltzmann Machines. This directory also includes
code comparing the log likelihood of small RBMs trained via
pseudolikelihood and Contrastive Divergence to ones trained
via MPF.
If you're interesting in using MPF to build an Ising model of neural spike data, you should also check out Liberty Hamilton's repository at https://github.com/libertyh/ising-model.
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Sohl-Dickstein-Minimum-Probability-Flow-Learning.zip
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Sohl-Dickstein-Minimum-Probability-Flow-Learning.zip (101个子文件)
sw_allall_flip_conditionals.c 5KB
mcholC.c 4KB
repmatC.c 4KB
lbfgsC.c 2KB
test_percolation.c 2KB
mexutil.c 1KB
sw_allall_flip_conditionals.c 32B
repmatC.dll 8KB
sw_allall_flip_conditionals.h 359B
mexutil.h 317B
.htaccess 508B
INFO 1KB
sw_allall_flip_conditionals.log 477B
texput.log 315B
minFunc.m 42KB
WolfeLineSearch.m 11KB
runme_ising.m 4KB
polyinterp.m 4KB
K_dK_RBM.m 4KB
minFunc_processInputOptions.m 4KB
runme_compare.m 3KB
ArmijoBacktrack.m 3KB
test_distribution.m 3KB
checkcoalesceswendsenwang.m 3KB
K_dK_ising_allbitflipextension.m 3KB
test.m 3KB
example_minFunc.m 2KB
sw_allall_bm.m 2KB
sw_allall_ising.m 2KB
swendsenwang.m 2KB
conjGrad.m 2KB
L_dL_ising.m 2KB
example_minFunc_LR.m 2KB
K_dK_ising.m 1KB
sample_ising.m 1KB
sample_RBM.m 1KB
get_ising_dist.m 1KB
get_bm_dist.m 1KB
mchol.m 1KB
train_CD.m 1KB
PL_RBM.m 1KB
compute_log_likelihood.m 1KB
rosenbrock.m 1KB
dampedUpdate.m 995B
lbfgs.m 924B
autoHess.m 901B
autoTensor.m 870B
dE_RBM.m 813B
autoGrad.m 807B
sw_allall_flip_conditionals.m 745B
E_RBM.m 693B
gibbs_allall_bm.m 686B
taylorModel.m 677B
LogisticLoss.m 669B
lbfgsUpdate.m 614B
logsumexp.m 576B
mcholinc.m 564B
LogisticDiagPrecond.m 417B
callOutput.m 378B
autoHv.m 317B
E_ising.m 233B
mylogsumexp.m 227B
LogisticHv.m 216B
sample_cond.m 173B
isLegal.m 107B
sigmoid.m 105B
sigmoid.m 105B
precondTriuDiag.m 60B
precondTriu.m 51B
precondDiag.m 42B
startup.m 35B
startup.m 34B
.#test.m 29B
#test.m# 3KB
README.md 1021B
lbfgsC.mexa64 8KB
repmatC.mexglx 20KB
sw_allall_flip_conditionals.mexglx 8KB
lbfgsC.mexglx 8KB
repmatC.mexmac 10KB
lbfgsC.mexmac 9KB
lbfgsC.mexmaci 12KB
mcholC.mexmaci64 13KB
sw_allall_flip_conditionals.mexmaci64 9KB
lbfgsC.mexmaci64 9KB
mcholC.mexw32 8KB
lbfgsC.mexw32 7KB
mcholC.mexw64 12KB
lbfgsC.mexw64 10KB
test.m~ 535B
MPF_Ising_objective.pdf 122KB
MPF_RBM_objective.pdf 88KB
tri_zero.pdf 31KB
tri.pdf 26KB
README 6KB
README 370B
README 117B
runtests 145B
MPF_Ising_objective.tex 8KB
MPF_RBM_objective.tex 3KB
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