Zephyr314

9 ms·

31.
Modeling with Uncertainty(blog.sigopt.com)
1 points by Zephyr314 8y ago|1 comments
32.
by Zephyr314 8y ago
Hi, I'm one of the founders of SigOpt (YC W15). Let me know if you have any questions about this post or SigOpt in general. Jungtaek was recently a Research Engineering Intern with us and wrote this post. If you're a student looki
33.
Clustering Applied to Acquisition Functions(blog.sigopt.com)
1 points by Zephyr314 8y ago|1 comments
34.
by Zephyr314 8y ago
We built an evaluation suite [1] and have some benchmarks [2] that we presented at some ICML workshops in 2016 comparing against some standard and open source methods. Members of our research team built or contributed to many of the popular
35.
by Zephyr314 8y ago
Hi, I'm Scott Clark, one of the founders of SigOpt (YC W15). Let me know if you have any questions about this post or SigOpt in general. Jungtaek was recently a Research Engineering Intern with us and wrote this post. If you're a
36.
Circulant Binary Embeddings(blog.sigopt.com)
15 points by Zephyr314 8y ago|3 comments
37.
by Zephyr314 9y ago
This [1] also contains a superset of the data used in this post and is direct from Yelp. [1]: https://www.yelp.com/dataset/challenge
38.
by Zephyr314 9y ago
Hi, I'm the author and co-founder of SigOpt (YC W15). Happy to answer any questions about the post or Bayesian optimization. Also, SigOpt is completely free for any academic or non-profit research [1]. [1]: https://sigopt.co
39.
What’s Keeping Deep Learning in Academia from Reaching Its Full Potential?(datanami.com)
2 points by Zephyr314 9y ago|1 comments
40.
by Zephyr314 9y ago
There is currently a 0% fee for "market making," or when you do a limit buy/sell. The 0.3% fee only applies when you make a market transaction (instantly filled) [0]. [0]: https://www.gdax.com/fees/ETH-US
41.
by Zephyr314 9y ago
There is a $0.15 minimum in the US, but they will take the max of that or 1.49% (to a bank account) [1]. Different countries and output methods vary, but most are proportional to the amount transferred. [1]: https://support.coinb
42.
by Zephyr314 9y ago
Post tl;dr: Sometimes when you are optimizing an ML / AI pipeline you care about multiple things (speed, accuracy, etc). It is often difficult to make these tradeoffs without knowing what is possible, but it is expensive to try differe
43.
by Zephyr314 9y ago
Hi, I'm one of the authors of this post and co-founder of SigOpt (YC W15). I'm happy to answer any questions about the post or SigOpt. More info on the research behind SigOpt can be found here [1]. [1]: https://sigopt.c
44.
Deep Learning Hyperparameter Optimization with Competing Objectives(devblogs.nvidia.com)
8 points by Zephyr314 9y ago|4 comments
45.
by Zephyr314 9y ago
Hi I'm one of the co-founders of SigOpt (YC W15) and co-authors of this post. Let us know if you have any questions!
46.
by Zephyr314 9y ago
They are of similar quality to candidates that get through our normal screening process (direct applications). It is best to be very specific about what types of candidates you are looking for so they can match as well as possible. We'
47.
by Zephyr314 9y ago
This interpretation is correct; they skip to onsite, but get a full onsite. (Source: we interview triplebyte candidates regularly)
48.
Getting Hyped for Deep Learning Configs(datanami.com)
1 points by Zephyr314 9y ago|0 comments
49.
by Zephyr314 9y ago
I'm one of the co-authors of this post and co-founders of SigOpt (YC W15). I'm happy to answer any questions about the post. You can find the code to replicate everything here [1]. More info on the research behind SigOpt can be fo
50.
Fast CNN Tuning with AWS GPU Instances and SigOpt(aws.amazon.com)
3 points by Zephyr314 9y ago|1 comments
51.
Optimize your career: SigOpt (YC W15) is hiring platform and research engineers(sigopt.com)
1 points by Zephyr314 10y ago
52.
by Zephyr314 10y ago
Hello, I'm one of the co-founders of SigOpt (YC W15) and am happy to answer any questions about what we do and how. For more posts and some of the papers we've presented at ICML, NIPS, etc check out https://sigopt.com&#
53.
Using Bayesian Optimization for Reinforcement Learning in an AI Agent(blog.sigopt.com)
3 points by Zephyr314 10y ago|2 comments
54.
by Zephyr314 10y ago
Hello, I'm one of the co-founders of SigOpt and I am happy to answer any questions about the round or what we do. More info from a16z on the round here: http://a16z.com/2016/08/24/sigopt/ More infor
55.
SigOpt (YC W15) raises $6.6M A led by a16z for Bayesian optimization platform(blog.sigopt.com)
1 points by Zephyr314 10y ago|1 comments
56.
by Zephyr314 10y ago
We compare to some standard convex optimization techniques implemented in scipy here [1]. We have comparisons to some other Bayesian methods here [2]. I'm happy to answer any questions! [1]: https://github.com/sigopt&#x
57.
by Zephyr314 10y ago
The methods in scipy.optimize are great if your function is serial, cheap, deterministic, and convex. Many ML models and real world problems don't fit into this context though. We have a Jupyter notebook showing how SigOpt compares to
58.
by Zephyr314 10y ago
We don't (yet), but we are growing rapidly and always looking for ways to help our customers solve optimization problems. Fwiw, we do support categorical parameters (as well as continuous and integer) and our ensemble of Bayesian optim
59.
by Zephyr314 10y ago
I'm one of the co-founders of SigOpt (YC W15) and am happy to answer any questions about SigOpt or the methods we apply. More info on our research (and examples) can be found at https://sigopt.com/research
60.
Intro to Multicriteria Optimization(blog.sigopt.com)
69 points by Zephyr314 10y ago|44 comments

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