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The rho_x parameter isn't documented in the JOTA paper nor the longer version of it. Judging by its name, this variable seems like it should be the ADMM step size parameter in traditional presentatio…
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I had accidentally made my problem poorly-posed by introducing a constraint that added a row of all zeros to my A matrix
(So, one constraint was basically `l
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Hey
I tried running the codes in the example but I am always getting **assertion failed**. I have also edited the variables to their values which have been used in the paper, but I am not able to s…
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Hi, Xu. I'm now working on sparse coding image denoising, however, I find that in your program, Par.lambda1 is always set to 0, which means you actually don't use ADMM to find the sulotion. So the fun…
ghost updated
5 years ago
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@Luke-Pratley Our server is under maintenance these days. so we are doing a small test on our 8G-memory PC. We set Jx, Jy and Jw 1(a minimum configuration required this way)...But it still throw a "st…
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The optimization method is inconsistent with the original paper, could you please provide the source of the paper for this method? Thank you
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In several solvers, sparse matrix is used to implement the finite difference operator as
```
len_y = len(self.y)
data = np.array([np.ones(len_y), -np.ones(len_y)])
diags = np.array([0, 1])
D = sp…
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Hello,
I am having trouble installing SpiecEasi. I have MASS, pulsar, and huge. Are there other dependencies I'm missing? I am working on a MacOS 12.6. The errors I am getting are "directory not f…
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Hi, Thank you for approaching me efficient pruning method.
I implemented 1 of 2 pruning steps(Training & Masked retraining). While I train with train.py, 4 batch size, and 25 epoch, It implements 0…
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After indexing change negative generation for NeuroMF got a bug.
Before: negatives were sampled from [0, num_items) uniform distribution; for now it is from [0, max_item + 1) distribution.
Ids wer…