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Hi,
I don't know much about the specifics of implementing Gaussian Process Regressions, but I am using the heteroscedastic gaussian process regression with learned variances as shown in this notebook…
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[@sadmac7000] Right now this is illegal:
``` ceylon
class Foo() {}
void run() {
Foo k;
}
```
[Migrated from ceylon/ceylon-spec#1316]
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This Issue is just for keeping track of things that don't matter for Z2, but will matter if this project ever wants to get accepted upstream:
- 3.0 kernel patches for pxa currently only cover Z2, not …
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Right now this is illegal:
``` ceylon
class Foo() {}
void run() {
Foo k;
}
```
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[Declaration-site variance](https://kotlinlang.org/docs/reference/generics.html#declaration-site-variance) used in the very common [`kotlin.Pair`](https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-…
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Description: We have a data set of park closures/ access changes run by Rob Fiddler that we would like to pull into A&R as variances. These come from the staff advisory portal & bcparks.ca.
Context…
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# URL
- https://arxiv.org/abs/2410.07170
# Affiliations
- Fabian Paischer, N/A
- Lukas Hauzenberger, N/A
- Thomas Schmied, N/A
- Benedikt Alkin, N/A
- Marc Peter Deisenroth, N/A
- Sepp Hoc…
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This file goes through without issue, when I would expect it to complain about a variance mismatch:
```
module M {
type T
}
module M' refines M {
type T = X -> nat
}
```
Related to …
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So I am debugging some mean code that seems to be sending values right to the exteme ends of the Float32 range.
I kept getting `ArgumentError: principal variance cannot exceed total variance`
on [thi…
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The predicted variance can become negative when lots of points are added. I believe this is due to numerical approximation in inverting the kernel matrix. The issue seems to be very similar to the one…