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models
models
 
 
.gitignore
.gitignore
 
 
Benchmark Algorithms.ipynb
Benchmark Algorithms.ipynb
 
 
README.md
README.md
 
 
banditApiTest.py
banditApiTest.py
 
 
banditChoice.py
banditChoice.py
 
 
banditChoice2.py
banditChoice2.py
 
 
banditChoiceBoltzmann.py
banditChoiceBoltzmann.py
 
 
banditChoiceTeoh.py
banditChoiceTeoh.py
 
 
banditChoiceThompsonSampling.py
banditChoiceThompsonSampling.py
 
 
banditChoiceUCBEmpirical.py
banditChoiceUCBEmpirical.py
 
 
banditChoiceUCBEmpirical1.py
banditChoiceUCBEmpirical1.py
 
 
banditChoiceUCBEmpirical2.py
banditChoiceUCBEmpirical2.py
 
 
banditChoiceUCBEmpirical3.py
banditChoiceUCBEmpirical3.py
 
 
banditChoiceUCBEmpirical4.py
banditChoiceUCBEmpirical4.py
 
 
bandit_algorithms.py
bandit_algorithms.py
 
 
bandit_demo.ipynb
bandit_demo.ipynb
 
 
edward_matrix_factorization_v2.ipynb
edward_matrix_factorization_v2.ipynb
 
 
empirical_entropy.py
empirical_entropy.py
 
 
installBandit.sh
installBandit.sh
 
 
just_nnmf.py
just_nnmf.py
 
 
just_nnmf_test.ipynb
just_nnmf_test.ipynb
 
 
matrix_factorization.ipynb
matrix_factorization.ipynb
 
 
matrix_factorization_edward.ipynb
matrix_factorization_edward.ipynb
 
 
matrix_factorization_nn.ipynb
matrix_factorization_nn.ipynb
 
 
mf_nn_full_vi_edward.py
mf_nn_full_vi_edward.py
 
 
mf_nn_full_vi_edward_demo.ipynb
mf_nn_full_vi_edward_demo.ipynb
 
 
movieLensAnalyzer.py
movieLensAnalyzer.py
 
 
nnmf.py
nnmf.py
 
 
nnmf_demo.ipynb
nnmf_demo.ipynb
 
 
nnmf_pure_demo.ipynb
nnmf_pure_demo.ipynb
 
 
nnmf_vanilla.py
nnmf_vanilla.py
 
 
pmf.py
pmf.py
 
 
question-why-var-so-low.ipynb
question-why-var-so-low.ipynb
 
 
uncertaintyModel.py
uncertaintyModel.py
 
 
util.py
util.py
 
 

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csc2541_project

Project for CSC2541 Fall 2017: Scalable Models of Uncertainty taught by Professor Roger Grosse

To run,

bash installBandit.sh

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