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# Reference
- [ ] [paper - 2007 - An overview of bilevel optimization](http://www.iro.umontreal.ca/~marcotte/ARTIPS/AOR2007.pdf)
- [ ] [paper - 2020 - Meta-Learning in Neural Networks: A Survey - 2.…
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Implementation of game-theoretic solver using bilevel optimization with pyomo, jax
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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
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Function wich calls Lev1_Optim.py.
Initializes bilevel optimization proces based on IsoSelect and InitParams from Iso_Decision.py.
Generates FinalResults data object.
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We should collate a series of good papers and teaching resources for learning Bilevel optimization, and add these to the documentation.
Steps:
- Make a new file in https://github.com/joaquimg/B…
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I am trying to reproduce results for SplitCIFAR-100, I used the exact same hyperparameters mentioned in the code. I am getting average accuracy as 59.42, and forgetting as 6.41.
In the paper,average …
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# DARTS
- `RL & EA` --> `DARTS`
- 离散领域的黑盒优化问题 --> 通过`可微的方式`进行结构搜索
- DARTS - Differentiable Architecture Search - 松弛(Relaxation)搜索空间使之连续 - 梯度下降 - AO
- CNN
- RNN
## Continuous Relaxati…
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## Summary
A very common model is the maximin (or minimax). The model transformation required to linearize such models are well-known. It would be very useful if Pyomo supported such model transfor…
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Hi, thank you for sharing all the codes.
I have a question about bilevel optimization procedure.
why do we need detach() operation [here](https://github.com/microsoft/MetaXL/blob/main/mlt.py#L11…
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Hi,
I believe that higher could be used for hyperparameter optimization using bilevel programming. I have attempted to adapt the given meta-learning example for bilevel programming. However, I am s…