airoldilab ai-sgd issues - Githubissues

airoldilab / ai-sgd

Towards stability and optimality in stochastic gradient descent

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Use publication quality plotting tools instead of ggplot2

#17 dustinvtran opened 9 years ago
0
Run experiments on covertype data

#16 dustinvtran opened 9 years ago
1
Benchmark using svrg.update() vs putting the code directly inside sgd()

#15 dustinvtran opened 9 years ago
0
Modularity in sgd.R

#14 dustinvtran closed 9 years ago
2
lambda parameter in sgd not working

#13 dustinvtran opened 9 years ago
5
Add routine to search heuristically for optimal rates for AI-SGD

#12 ptoulis closed 9 years ago
1
On the slope argument for the batch function

#11 dustinvtran closed 9 years ago
0
Move the time benchmark function outside of exp_normal_correlated.R and make it generic

#10 dustinvtran opened 9 years ago
2
Add signal-to-noise ratio for other GLMs in generate.data()

#9 dustinvtran closed 9 years ago
0
Reorganize functions.R and disperse functions over multiple files

#8 dustinvtran opened 9 years ago
1
Unit testing

#7 dustinvtran opened 9 years ago
0
Remove need for defining sgd/batch in exp_normal_n5p2.R

#6 dustinvtran opened 9 years ago
4
Need separate folder/better naming for experiments.

#5 ptoulis closed 9 years ago
0
Averaged versions need to use larger learning rates.

#4 ptoulis opened 9 years ago
5
Relevant datasets?

#3 ptoulis closed 9 years ago
3
Implement averaged implicit (aiSGD) in sgd.R

#2 ptoulis closed 9 years ago
0
batch learning needs update

#1 ptoulis closed 9 years ago
0