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Godbolt link https://godbolt.org/z/cMdx6v1G9
```rust
pub fn exact_size(){
let it = std::hint::black_box(vec![1,2,3].into_iter());
let v = it.collect::();
std::hint::black_box(v)…
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# Reference
- [ ] [open-source implementation of Google Vizier ](https://github.com/tobegit3hub/advisor)
# Brief
- hyper parameters tuning system for black box optimization.
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Hi,
This code:
```rust
#![feature(bench_black_box)]
use core::hint::black_box;
#[inline(never)]
pub fn foo(mut val: T) {
loop {
black_box(&mut val);
}
}
pub fn bar…
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We should make clear that are not yet another HPO library.
I suggest we should start documenting examples or areas where black-box optimization is applied.
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Hello,
[CMA-ES](http://cma.gforge.inria.fr/) is a powerful evolutionary algorithm for black-box optimization problems. If there is interest in adding it to this optimization suite, I would be happy t…
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I believe it would be useful to be able to run designs through the alpha-release flow while setting an enumerated list of modules to black boxes to get statistics on the design as early feedback to th…
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https://drive.google.com/file/d/1aTcRQBUiWoQMzZj9glIXeevS73zfjhCY/view?usp=drivesdk
changes: no black boxes (except week 5); at 2 weeks a static background; less lags and crashes
optimization…
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Quantum Approximate Optimization Algorithm is a proposed method of finding combinatorial optimization solutions that is somewhat speculated to hold a better approximation ratio than some classical app…
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Hi all,
I am working on optimizing a black box function. The problem has 52 variables.
PyNOMAD on running for around 2.5 hours (BB function evaluation is costly) is giving inferior answers as comp…
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Thanks for the excellent work :partying_face:
1. I'm looking for black-box optimization algorithms to perform prompt tuning on my neural network, which requires candidate solutions from each iterati…