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This figure seems a little too obvious to include but happy to be vetoed.
Also, while it may be true that "it is possible that the true but unknown population mean has the low-rank property but the e…
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In [1] a general low-rank inducing framework was introduced and showed many benefits compared to e.g. the nuclear norm when applied to common computer vision tasks. This was later generalized in [2].
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i cropped the training images so that the length and width are both 256.
my training code is as follows:
```
classes = {
'inner_distance': 1, # inner distance
'outer_distance': …
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Hi, first of all , thanks for the code and your paper, it's really excellent work.
And during the debug, i found the loss value is negative, is that right?
i debug the BNM in DA, the dataset was off…
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- [x] nonnegative (LP)
- [x] dual (moment) sum of squares (interpolation-based SOS/WSOS)
- [x] second-order
- [x] exponential (3-D)
- [x] rotated SOC
- [x] PSD
- [x] L_inf epigraph (useful for v…
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Hi:
I'm impressed by your paper and try to apply the BNM loss for domain adaptation problem. However, the torch.svd() function usually crush down, my batch-size and vector size is 128*1000, I won…
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Current fails for:
Calls `internal_new_from_data`: (#65)
- [x] `__getitem__`
- [x] `__rpow__` (straight up calls torch.tensor)
- [x] torch.tensor
- [x] Tensor.new()
[Data pointer accessed by…
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Reply with your memo as a Comment. The memo should be responsive to this week's readings and 300–500 words + 1 visual element (e.g., figure, image, hand-drawn picture, art, etc. that complements or is…
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I did a benchmark over the 2 imputation methods over following procedure
1. Run a small imputation benchmark on KNN and softImpute(SVD)
1. subset the first 10,000 of the CpG sites with totally …
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Hi @bethandtownes and thank you for this package.
We are working on [SynthControl](https://github.com/nilshg/SynthControl.jl).jl and would like to implement a popular technique based on Matrix comple…