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.vscode
.vscode
 
 
KFT
KFT
 
 
KFT_revision_benchmark_data/greedy_low_rank_tensor_learning
KFT_revision_benchmark_data/greedy_low_rank_tensor_learning
 
 
alchohol_bayesian_benchmark
alchohol_bayesian_benchmark
 
 
alcohol_sales_jobs
alcohol_sales_jobs
 
 
movielens_20_bayesian_dual_multivariate
movielens_20_bayesian_dual_multivariate
 
 
movielens_20_bayesian_dual_univariate
movielens_20_bayesian_dual_univariate
 
 
movielens_20_bayesian_dual_univariate_LS
movielens_20_bayesian_dual_univariate_LS
 
 
movielens_20_benchmark_bayesian
movielens_20_benchmark_bayesian
 
 
movielens_jobs
movielens_jobs
 
 
movielens_neural_beat_1m
movielens_neural_beat_1m
 
 
preprocessing_scripts
preprocessing_scripts
 
 
report_movielens_10m_jobs
report_movielens_10m_jobs
 
 
report_movielens_1m_jobs
report_movielens_1m_jobs
 
 
.gitignore
.gitignore
 
 
KFT.yml
KFT.yml
 
 
KFT_fundamental_motivation_experiment.py
KFT_fundamental_motivation_experiment.py
 
 
README.md
README.md
 
 
alcohol_FFM.sh
alcohol_FFM.sh
 
 
analyze_forecast_results.py
analyze_forecast_results.py
 
 
calculate_overall_score_forecast.py
calculate_overall_score_forecast.py
 
 
data_summary.py
data_summary.py
 
 
debug_run.py
debug_run.py
 
 
debug_run_bayesian.py
debug_run_bayesian.py
 
 
debug_scratch.py
debug_scratch.py
 
 
explainability_example.py
explainability_example.py
 
 
frequentist_latex_parse.py
frequentist_latex_parse.py
 
 
generate_parameters_bayesian.py
generate_parameters_bayesian.py
 
 
generate_parameters_bayesian_forecast.py
generate_parameters_bayesian_forecast.py
 
 
generate_parameters_forecast.py
generate_parameters_forecast.py
 
 
generate_parameters_frequentist.py
generate_parameters_frequentist.py
 
 
likelihood_and_bayesian_latex.py
likelihood_and_bayesian_latex.py
 
 
movielens_FFM.sh
movielens_FFM.sh
 
 
plot_bayesian_forecasts.py
plot_bayesian_forecasts.py
 
 
plot_fundamental.py
plot_fundamental.py
 
 
run_FFM_benchmarks.py
run_FFM_benchmarks.py
 
 
run_job_script_preloaded.py
run_job_script_preloaded.py
 
 
run_lgbm_private.py
run_lgbm_private.py
 
 
run_lgbm_private_gpu.py
run_lgbm_private_gpu.py
 
 
run_linear_benchmarks.py
run_linear_benchmarks.py
 
 
run_linear_benchmarks_VM.py
run_linear_benchmarks_VM.py
 
 
setup.py
setup.py
 
 
ziz2_run.sh
ziz2_run.sh
 
 

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KernelFriedTensor

Kernel Tensor Factorization for high dimensional empirical risk minimization. Contains both a frequentist and a bayesian model!

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