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how to get the pareto front after training a model, saving it and evaluating?
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This issue will focus on the problem of assigning backend (cpu, acl_cl, acl_neon) per operation, such as to optimize performance. The end-goal of the on-going work is to develop a computational algori…
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Excuse me, can you provide the title of the paper corresponding to this code? Thank you very much
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> Would love to have Matbench for generative models. @ardunn @txie-93 and anyone else, thoughts? Playing around with the idea of forking `matbench` as `matbench-generative` with visualizations similar…
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Hello,
what is the **reference paper** for this repo?
Best.
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## Keyword: sgd
### A Convergence Theory for Federated Average: Beyond Smoothness
- **Authors:** Authors: Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang
- **Subjects:** Machine Learning (cs.LG);…
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In reporting.py there is "TODO: Add a curses-based reporter". I would like do develop it, but have some questions in past I used urwid. Is ok to use urwid ? http://urwid.org/
Updated reporting can ha…
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**Submitting author:** @ppalmes (Paulito Palmes)
**Repository:** https://github.com/IBM/AutoMLPipeline.jl
**Branch with paper.md** (empty if default branch):
**Version:** v0.4.1
**Editor:**
**Revie…
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## Issue description
I have two questions/ideas regarding the Chebyshev scalarization:
- If I want to minimize a target, I usually multiply in botorch by -1. This is done implicitly in `get_cheb…