Zephyr314

7 ms·

1.
by Zephyr314 1y ago
Do you guys have examples of people actually using this in production? I'm curious how it scales beyond dev.
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by Zephyr314 1y ago
Very cool to see what used to take a team years to build in a simple, intuitive OSS package. Getting a stack like this up and running in 20 lines of python out of the box would have been unthinkable 10 years ago. Congrats to the team. Can&#
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by Zephyr314 3y ago
Hi, I am one of the founders of SigOpt (acquired by Intel in 2020) and I am happy to answer any questions people may have! You can also jump right to the code here: https://github.com/sigopt/sigopt-server
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SigOpt (YC W15, Optimization Platform) is now fully open source(sigopt.com)
1 points by Zephyr314 3y ago|1 comments
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by Zephyr314 3y ago
Hi, I'm one of the founders of SigOpt (Scott Clark) and still working with the team after our acquisition by Intel in 2020. I am happy to answer questions. I am incredibly proud that the SigOpt product that has helped thousands of rese
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SigOpt (YC W15) is now open source(sigopt.org)
4 points by Zephyr314 3y ago|1 comments
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The Case of the Mysterious AWS ELB 504 Errors(sigopt.com)
2 points by Zephyr314 7y ago|0 comments
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The Case of the Mysterious AWS ELB 504 Errors(sigopt.com)
2 points by Zephyr314 7y ago|0 comments
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Mirages in Data(mlconf.com)
2 points by Zephyr314 7y ago|1 comments
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by Zephyr314 7y ago
There are also several papers and blog posts diving into details and tradeoffs of different Bayesian optimization approaches and components here [0]. Example: Covariance Kernels for Avoiding Boundaries [1] [0]: https://sigopt.com
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by Zephyr314 7y ago
This NVIDIA post goes into extending Bayesian Optimization to multiple metrics [0]. It shows how you can use efficient optimization to find a good Pareto Frontier[1]. [0]: https://devblogs.nvidia.com/sigopt-deep-learning-hyp
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by Zephyr314 7y ago
hyperopt also uses TPEs [0], this may be a variant/fork of that. [0]: http://hyperopt.github.io/hyperopt/
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by Zephyr314 7y ago
This can be a very difficult market, but there are a handful of different projects designed to help with this. In-Q-Tel [0] has been accelerating adoption of new technology for the Intelligence Community for many years and often invests in
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by Zephyr314 7y ago
Which in this case nets you >$1M [0] vs the 80k quoted above. This also assumes no retention grants over 6 rounds. [0]: 0.02*0.8^6*$200,000,000 = $1,048,576
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by Zephyr314 8y ago
I agree that this isn't as common for most end-to-end "AutoML" systems that take a CSV, do light feature engineering/combinations, pipe it into a random forest / GBDT, and then output a model. For many of those appr
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by Zephyr314 8y ago
To be fair, the hyperparameter tuning behind these AutoML systems are getting fairly robust. Google bases theirs on Vizier [0]. The Amazon Sagemaker group has people from the gpyopt project [1]. There is also tons of open source projects ou
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by Zephyr314 8y ago
While a lot of Bayesian optimization methods use GPs (MOE, Spearmint, BayesOpt, etc) some use TPEs as well (most notably, hyperopt [0]), and some ensemble these methods and others like SigOpt (YC W15) [1] (disclaimer: I'm one of the fo
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by Zephyr314 8y ago
For graduate students out there that would rather be doing research than "graduate student gradient descent" (or, high dimensional, non-convex optimization in your head), SigOpt (YC W15) is a SaaS Optimization platform that is com
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by Zephyr314 8y ago
SigOpt (YC W15) has an academic program that allows full access to their optimization platform for academic use [1]. Hundreds of academics around the world have used it and there are already dozens of papers that have been published that ha
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by Zephyr314 8y ago
It would be interesting to see what would happen if you also tried to tune the ensemble towards a specific task in the same way that you could tune a single model. We've definitely seen that tuning the embedding hyperparameters (along
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by Zephyr314 8y ago
General employee lockup [1] ends at 6 months usually. A tank right before/at that time could signal what the insiders think and the long term prospects in general. [1]: https://www.investopedia.com/ask/answer/
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by Zephyr314 8y ago
Hi, I'm Scott Clark, co-founder of SigOpt (YC W15). We provide hyperparameter optimization as a service. We have some references to recent articles we've presented at NIPS, ICML, and AISTATS here [1] We also have a higher level te
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by Zephyr314 8y ago
Hi, I'm one of the founders of SigOpt (YC W15). This is part 3 of a 3 part series we've done on uncertainty in modeling and optimization (Part 1 and 2 here [0] and here [1]). Let me know if you have any questions about this post o
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Balancing Multiple Metrics with Uncertainty(blog.sigopt.com)
1 points by Zephyr314 8y ago|1 comments
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by Zephyr314 8y ago
SigOpt (YC W15) is a related service that performs a superset of these features as a SaaS API (I am one of the co-founders). We've been solving this problem for customers around the world for the last 4 years and have extended a lot of
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by Zephyr314 8y ago
Hi, I'm one of the co-authors of MOE (it was a fork of my PhD thesis). We haven't been actively maintaining the open source version of MOE because we built it into a SaaS service 4 years ago as SigOpt (YC W15). Since then we'
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by Zephyr314 8y ago
Thanks! I'm one of the co-founders of SigOpt (YC W15). You hit the nail on the head. We've been trying to promote more sophisticated optimization approaches since the company formed 4 years ago and are happy to see firms like Goog
28.
by Zephyr314 8y ago
Hi, I'm one of the founders of SigOpt (YC W15). This is part 2 of a 3 part series we'll be doing on uncertainty in modeling and optimization (Part 1 here [0]). Let me know if you have any questions about this post or SigOpt in gen
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Bayesian Optimization with Uncertainty(blog.sigopt.com)
2 points by Zephyr314 8y ago|1 comments
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by Zephyr314 8y ago
Hi, I'm one of the founders of SigOpt (YC W15). This is part 1 of a 3 part series we'll be doing on uncertainty in modeling and optimization. Let me know if you have any questions about this post or SigOpt in general. Mislav was r

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