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paper_2019_multiobjective_rfms
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
https://github.com/smilesun/tex_2018_intellisys2019_fmoboms
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potential journals
#59
smilesun
opened
5 years ago
0
debug ladder
#58
smilesun
opened
5 years ago
0
refactor setHyperParWrapper
#57
smilesun
opened
5 years ago
0
add row names to dataframe
#56
smilesun
opened
5 years ago
0
better way to observe if tuning work
#55
smilesun
opened
5 years ago
0
put prob_inputs_data inside problem
#54
smilesun
opened
5 years ago
0
why do we use bootstrap of openbox and lockbox to evaluate? why not just average the loss on each dataset by alpha?
#53
smilesun
opened
5 years ago
0
weigh loss by datasize
#52
smilesun
closed
5 years ago
1
log current multiobjective pareto in each iteration
#51
smilesun
opened
5 years ago
0
publish the problem setting alone as an arxiv paper first
#50
smilesun
opened
5 years ago
0
another non-reproducible error
#49
smilesun
opened
5 years ago
2
test_bt_oml remove constant features problem
#48
smilesun
opened
5 years ago
1
can we claim this fmo-ms can be used as general **resampling & model selection** method? (cluster arbitrary dataset and run fmo-ms)
#47
smilesun
opened
5 years ago
0
mbo combined with ladder met matrix inversion problem "Error in t.default(T) : argument is not a matrix"
#46
smilesun
opened
5 years ago
7
run stratified dataset partition
#45
smilesun
opened
5 years ago
0
lack of datasets for evaluation of our method
#44
smilesun
closed
5 years ago
0
oml 14966 500 columns got removed in removeConstant features
#43
smilesun
opened
5 years ago
1
oml34536, 9981, is multiclass?
#42
smilesun
closed
5 years ago
1
lido can not run jobs
#41
smilesun
closed
5 years ago
1
account di36tij job error after loading packages (log stoped, not error message found)
#40
smilesun
closed
5 years ago
1
oml tid 9950 has zero factor after the pca+ balanced clustering
#39
smilesun
closed
5 years ago
1
lido can not download oml
#38
smilesun
closed
5 years ago
2
is ksvm random?
#37
smilesun
opened
5 years ago
7
strange prediction object
#36
smilesun
opened
5 years ago
0
implement non-mbo model selection
#35
smilesun
opened
5 years ago
0
implement random search
#34
smilesun
closed
5 years ago
0
log hyper-parameter change in gperf_env
#33
smilesun
closed
5 years ago
1
simulated data
#32
smilesun
opened
5 years ago
0
understanding the eaf plot
#31
smilesun
opened
5 years ago
0
graph model: can we eliminate the arrow from theta to data?
#30
smilesun
opened
5 years ago
0
code for 3d hyper-volume calculation and aggregation
#29
smilesun
opened
5 years ago
3
grid search for fso alpha hyper-parameter
#28
smilesun
closed
5 years ago
0
plot of pca eigenvalues and figure out a way to choose the ratio of variance to reserve
#27
smilesun
closed
5 years ago
2
we need a time evolving plot of the mmce for each data site along the mbo process (data already available)
#26
smilesun
opened
5 years ago
0
t-sne visualization of high dimensional clusters
#25
smilesun
opened
5 years ago
5
attack point: we need some argument to explain why we split the data into 5 parts and use 3 of them as curator dataset.
#24
smilesun
opened
5 years ago
0
summary statistic or graph to the 5 data sites
#23
smilesun
opened
5 years ago
1
remove openml dependencies from batchtools running
#22
smilesun
opened
5 years ago
0
Refactor pre
#21
pfistfl
closed
5 years ago
0
effect of extremely small size part in dataset splitting
#20
smilesun
opened
5 years ago
2
effect of removeConstantFeaturesWrapper
#19
smilesun
closed
5 years ago
2
tuning threshold VS tuning AUC
#18
smilesun
closed
5 years ago
2
code review
#17
smilesun
opened
5 years ago
0
is it possible to have: when train on the whole dataset, mmce is 1, but the cv mmce score on the same can be 0.4?
#16
smilesun
closed
5 years ago
4
brier_score vs scaled brier_score as tuning criteria
#15
smilesun
closed
5 years ago
4
how to choose the hyper-parameter of thresholdout-brier-score
#14
smilesun
opened
5 years ago
0
shall we ever use thresholdout-auc-feat-sel to compare with our method?
#13
smilesun
opened
5 years ago
2
which measure should we use to compare the final result? auc, mmce or ?
#12
smilesun
opened
5 years ago
0
R implementaion of thresholdout auc combined with MBO
#11
smilesun
closed
5 years ago
0
removeConstanceFeatureWrapper Does not work for our code
#10
smilesun
closed
5 years ago
1
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