highd

6 ms·

1.
by highd 5mo ago
... so how do API users enable 1hr caching? I haven't found a setting anywhere.
2.
by highd 8mo ago
I'm fairly confident that the new reddit React implementation can be improved in performance by a factor of 3x to 10x. I would be interested to hear others who have good reason to explain why not. I can certainly imagine React-like sys
3.
by highd 11mo ago
How are you doing your train/test split?
4.
by highd 11mo ago
If you think identifying a hypothetical back door in something as complex as a router is not a difficult process you are simply uninformed.
5.
by highd 11mo ago
More like classic Bayes. Taleb's pop-sci came a few decades later.
6.
by highd 11mo ago
Do you have any details on the experiment procedures? E.g. hardware, training time, loss curves? It is difficult to confidently reproduce research without at least some of these details.
7.
by highd 1y ago
If you released any of the software you are using to do this I would find it extremely interesting!
8.
by highd 1y ago
You can do Q-Learning with a transformer. You simply define the state space as the observation sequence. This is in fact natural to do in partially observed settings. So your distinction does not make sense.
9.
by highd 1y ago
TFP cites decision transformers. Just using a transformer does not bypass the credit assignment problem. Transformers are an architecture for solving sequence modeling problems, e.g. the credit assignment problem as arises in RL. There have
10.
by highd 8y ago
Can you provide some technical details on what you do? Do you divide the number of channels on each real layered network by 4? I don't see anything describing this in the paper.
11.
by highd 8y ago
Golem is solving exactly this problem.
12.
by highd 9y ago
It's actually using just one day's data (one point) to predict the next day's data, let alone predicting 5 days.
13.
by highd 9y ago
This model is showing predictions one day into the future. The "test set" plot is all predictions made with data from 1 day ago. The input sequences have size 1, so no recurrence is happening (see to_1dimension in https:/&#x
14.
by highd 9y ago
Most of the research in compressed sensing type applications now is focused on more sophisticated prior distributions than sparse/Laplacian. These more general bayesian approaches provide significant performance improvements over LASSO
15.
by highd 9y ago
Not to mention that it appears they're comparing against networks of the same architecture. If you build your quaternion components with with same number types as your reals you effectively have 4 times the number of parameters, which
16.
by highd 9y ago
Regarding this and previous discussions on this topic on HN, it seems to me that one of the primary motivating factors when constructing a new ranking system should be the possibility of cyclical dominance a la rock/paper/scissors
17.
by highd 9y ago
Bayesian optimization is often applied on problems where the cost of function evaluation greatly exceeds the cost of any posterior updates etc. In this case sample efficiency is the real benchmark, and you should be looking at realistic pro
18.
by highd 9y ago
Investors that investigate companies, identify hidden problems and report on them to the public help enable more accurate price discovery. This wouldn't happen at all if they couldn't trade against it. For instance, I recall a sto
19.
by highd 9y ago
This is a great example of where crypto would be useful. But it's not the same as paying for pizza.
20.
by highd 9y ago
Cash is cheaper for merchants, but people have only continued to use credit cards more. Further, if crypto becomes attractive from a cost perspective Visa will just be forced to bring down fees and stay competitive. It's pretty near im
21.
by highd 9y ago
This is secondary to there being no benefit to the average user for transacting in crypto vs Visa. What incentive is there for an end user to use even a hypothetically optimal crypto system? Then is that incentive sufficient to overcome net
22.
by highd 9y ago
Not to mention: > Data on blockchains is by default, unencrypted, especially data that needs to be validated by the nodes. Databases are unsecured by default -> databases are overhyped!
23.
by highd 9y ago
Compressing neural networks for inference is an entire subfield of work, with a number of effective approaches. It looks like the paper doesn't compare against any of them?
24.
by highd 9y ago
Apparently TCP is over too: https://trends.google.com/trends/explore?date=all&q=tcp
25.
by highd 9y ago
Please release it! There are a lot of applications for a differentiable renderer that's compatible with DNN libraries.
26.
by highd 9y ago
How are you optimizing over textures? Do you have a differentiable renderer? Or are you not calculating those gradients via backpropagation?
27.
by highd 9y ago
It seems difficult to imagine any reasonable means to restrict communication like this, especially government imposed. Alternate possibilities: 1. People eventually tire of mass online communication and use it less. One can hope! 2. The con
28.
by highd 9y ago
Modern discourse is clearly affected by the "leveling" of communication that a popular internet provides. People frequently interact with very large conglomerations of people, rather than primarily with their geographic neighbors.
29.
by highd 9y ago
I don't think "high income inequality" is much of an explanation for why someone has high income...
30.
by highd 9y ago
You are of course free to try simple dimensionality reduction and nearest neighbors, and if that works on your problem that's fantastic. To the research community, though, problems where approaches like that work were considered "

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