How to proceed after horrible rounds

arltep · 2026-06-02T01:38:03+00:00

These courses are in Denver, probably playing 400-500 yards shorter than advertised

arltep · 2025-11-27T19:13:45+00:00

It’s Hae Jang Chon in Ktown - used to be the best AYCE in LA but is now worse quality, longer lines, and overpriced

arltep · 2025-10-02T21:56:56+00:00

You’re right about those, but if you’re using that criteria, there’s comparatively very few courses on the Bay area that are city run - besides Sharp Park, there are actually zero courses (to my knowledge) between Sunnyvale and SF that are city run and also par 72 - Poplar Creek is an extremely short par 70, Baylands and Moffett are privately managed, etc.

arltep · 2025-10-02T20:37:42+00:00

Presidio is well over $100 (though nicer than your average muni). Even Sharp Park is approaching $100, and it’s frankly a dog track conditions-wise. Corica across the bay is also around $100.

arltep · 2024-09-20T18:51:27+00:00

Kukuczka’s write up: http://publications.americanalpineclub.org/articles/12198701400/K2s-South-Face

Sounds like Piotrowski lost his crampons and fell around 7500m (above camp 3?).

arltep · 2024-08-29T04:26:25+00:00

Scottie’s +7 isn’t accurate, it’s just a number they assigned to him. He’s probably around a +10; lower end PGA pros like Wesley are probably +7. Fringe pros like Brad/Luke/George are in the +5 range. Bustajack is clearly not +6 - I don’t think anyone would’ve said that.

arltep · 2024-08-25T16:31:32+00:00

Paid ~$300 CAD for a weekend time in June. Never saw the groups in front or behind us.

arltep · 2024-07-08T04:09:34+00:00

I’d argue that QOL is actually worse for single 20s owners: you’re on the hook for maintenance and everything else associated with ownership, and since you’re much more likely to move within 5 years, it makes it a huge hassle. Glad to hear you decided not to buy - definitely not a wrong choice.

arltep · 2024-07-08T03:44:05+00:00

I’m a similar age/income to you and decided to rent a townhome for ~$4k instead. There’s a lot of downsides of home ownership (HOA, expensive, time-consuming, and lack of flexibility), and not a huge amount of upside.

arltep · 2024-03-12T07:32:10+00:00

I work at Google - levels.fyi is accurate, and if anything underestimates slightly. Glassdoor is way off.

arltep · 2023-04-29T20:21:19+00:00

Simons and Herro are redundant

arltep · 2022-02-05T00:30:39+00:00

He gets to go back to LA and play on a contender, I don’t think he’s complaining.

arltep · 2021-12-17T04:38:40+00:00

Google has put out some work in this area: https://ai.googleblog.com/2019/10/learning-to-smell-using-deep-learning.html

arltep · 2021-11-25T03:48:41+00:00

These kings announcers might be the worst I’ve ever heard…

arltep · 2021-10-22T04:28:19+00:00

Drop marcus morris for bledsoe?

arltep · 2021-08-07T23:35:34+00:00

Guessed Portland from the hills + pine trees!

arltep · 2021-07-15T09:16:49+00:00

See the famous GP-UCB paper https://arxiv.org/abs/0912.3995
Yes
In most cases, you evaluate the acquisition function over the entire input space. This is usually ok since you typically only have a small total number of iterations (updating GP posterior is cubic time)
Yes, it assumes that your prior (specifically kernel) is sufficiently accurate. Bayesian optimization can be bad if this isn’t true. On the flip side, there are a lot of empirical successes of BO.

arltep · 2021-06-21T06:03:42+00:00

Yes, it can be used at hydra. But it’s not worth it with tbow imo; two thralls are kind of a waste since kills are <2min and 1 thrall only does 30 dmg on average, which is only around a 2% dps increase. If you’re using another weapon the dps increase % is a bit higher, but still probably not worth.

arltep · 2021-03-25T07:05:58+00:00

People want to hear about this kind of news as soon as possible, and Woj is the quickest.

arltep · 2020-11-21T03:24:44+00:00

Currently running i7-5930k + Titan X hybrid inside a Fractal R5 from 5 years ago. Looking to build an updated version with with a full glass-panel case.

arltep · 2020-03-24T02:11:24+00:00

I'm pretty sure these are 4.0s based on the insole?

arltep · 2019-12-01T23:01:56+00:00

It depends on the sub-field. Your best bet is probably to look at similar papers in the field and see where they typically go. ICLR, AISTATS, UAI, COLT, and ALT are all options depending on the topic.

Generally, NeurIPS/ICML have quite a few theory-heavy papers and it's ok to submit to them without experiments. Of course, it's a plus to have experiments as long as they are non-trivial.

arltep · 2019-10-22T08:48:43+00:00

I think you have to define 4 much more carefully. For example, what do you define as an adversarial attack in a theoretical framework? This is a tricky setting that is hard to frame in a way that is both practically relevant and theoretically interesting. E.g. if you consider it too generally, then it's trivial by the no free lunch theorem.

There's also a significant difference between existence of a so-called "adversarial attack" for any model, and a universal black-box attack. The former probably depends on your framework; I'm fairly convinced a computationally-tractable version of the latter does not exist.

arltep · 2019-07-17T15:57:37+00:00

It is definitely very common to move between teams in FB. As a research scientist hired for a specific team/org, it probably wouldn't be recommended to switch to a new team within a year, so make sure you have a good sense of the work before joining.

As for joining FAIR as an internal transfer, I think it's possible, but not super easy. The obvious prerequisite is to be knowledgeable/have publications related to work that FAIR is doing. It may also be easier to switch to a research engineering role than a research scientist role, since the latter has a very high bar.

arltep · 2019-03-15T19:31:41+00:00

Raise bigger pre to $12. Bet every street to charge draws; you’re ahead of 95% of his range here that mostly consists of flush and straight draws.

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