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There are probably optimizations to be made, both in terms of micro-optimization, and in terms of the algorithms used.
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This is a very long term suggestion; it is not urgent and very much a wish list item. This suggestion is currently pretty fuzzy and I haven't thought through all the implications, but I wanted to get …
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It would be useful to have some more performance metrics for MO optimization.
For instance, some that are often used in MO papers are:
- [ ] Diversity of the non-dominated front
- [ ] Closeness…
Sceki updated
4 years ago
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I don't know if this is a sherpa issue or GPyOpt, but since sherpa is calling gPyOpt and determines what versions of libraries are installed, I think this is the place to start.
This minimal exampl…
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Model optimization needs to be implemented.
A skeleton for a possible iterative workflow that will pursue model optimization would look like this:
1. Define a first model into an initial config…
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# Description
The idea is to study VQE applications and identify a viable problem to design custom parametrized quantum circuits for and verify/build upon results from the following papers:
1. [Prob…
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For certain 2nd-order optimization algorithms, e.g. (Martens & Grosse, 2015 JMLR):
```scala
def backward[G[_]: Algebra, X, Y](dy: G[Y], y: Y, x: X): G[X]
```
where `G[_]` encapsulates backward c…
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Running [game.py](http://github.com/olls/graphics/blob/master/game.py) in full-screen mode is VERY laggy. Some of the algorithms could defiantly do with some optimization, as well as the general code …
olls updated
10 years ago
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Company: US-Based 💵 Annual Compensation: $100k - $140k USD (Approx. R$550k - R$750k)
Descrição da vaga
🔍 Responsibilities:
Build tools to monitor inference infrastructure performan…
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Consider that I want to come up with an algorithm that optimizes treatment parameters for patients (eg amount & type of medication to take).
Currently if I use algorithms from skopt, I would need …