tnecniv

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by tnecniv 3y ago
She also does an awesome version of For What It’s Worth
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by tnecniv 3y ago
Bob Dylan talked about how he loved working with him because he’s the rare guitarist that had all the chops but didn’t need to show them off. As an example, here’s a clip of him playing with Clapton. He takes over right when Clapton’s strap
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by tnecniv 3y ago
Roth’s story is interesting because it exhibits a combination of brilliance and perseverance. Baseball is a uniquely quantifiable sport due to the degree that the continuum of events on the field can be compressed into discrete records, the
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Allan Roth: The First (Professional) Baseball Statistician (2019)(sabr.org)
1 points by tnecniv 3y ago|1 comments
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by tnecniv 3y ago
I’m not sure about PyTorch (last I checked, no, but it’s been a while), but Jax offers rudimentary runtime checking support for matrix shapes via bear / type guard. Ultimately, though, I don’t think Python will be nearly as good at tha
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by tnecniv 3y ago
This is something that bugged me for a while. Characters rarely seem to encounter hamlets or small towns as well.
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by tnecniv 3y ago
It’s a fairly esoteric topic, but reservoir computing can be done in an entirely analog manner (analog reservoirs + a weighted linear sum via op amps; I don’t know how you dynamically update the sum weights in an analog fashion but I assume
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by tnecniv 3y ago
Imagine being in the Bach or Bernoulli where there was more than one…or being the third Manning brother (although he gets TV commercial time now)
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by tnecniv 3y ago
Sure because that’s an easy example and kind of my point. When you’re starting your PhD, it can be hard to determine what questions you can and cannot answer given your skills and surrounding literature. That comes from experience and tryin
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by tnecniv 3y ago
I remember reading that some epidemiologists saw the wealth of new data from CoVID as a silver lining because of how few events there are at that scale. Apparently it’s not uncommon to still use the Spanish Flu data which is spotty at best
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by tnecniv 3y ago
Yeah passing peer review doesn’t mean that the article is perfect and to be taken as truth now (and remember, to err is human; any coder on here has had some long standing bug that went mostly unnoticed in their code base). It means it pass
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by tnecniv 3y ago
This is something very sensible in ML since, you likely want to use that algorithm for something else (or to extend / modify it), so you need to get it working in your pipeline and verify it works by comparing with the published result
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by tnecniv 3y ago
Then Bob has failed. Academic science isn’t just the doing science part but the articulation and presentation of your work to the broader community. If Bob knows this space so well, he should be able to clearly communicate the issue and, id
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by tnecniv 3y ago
It’s also very easy to come up with bad ideas — I did plenty of that and I still do, albeit less than I used to. Finding an idea that is novel, interesting, and tractable given your time, skills, resources, and knowledge of the literature i
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by tnecniv 3y ago
It’s very fitting that whether to pirate or pay for the game is its own dilemma with healthy shades of gray. It’s like a meta aspect of the game. Either way, it sounds like neither party is particularly Disco, baby!
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by tnecniv 3y ago
A lot of peers in my PhD cohort and myself were always impressed with how much more math the average dissertation seemed to contain 50 years ago when we’d flip through the copies kept in the break room. Even non-theorists had to do a lot mo
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by tnecniv 3y ago
Ah yes, if I can’t run the LHC at home, none of the work there happened
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by tnecniv 3y ago
I know people that had to take a 6+ month trip to Antarctica for part of their work and others that had to share time on a piece of experimental equipment with a whole department — they got a few weeks per year to run their experiment and h
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by tnecniv 3y ago
Your proposal has a whole slew of issues. First, people that want to be professors normally do so because they want to steer their research agenda, not repeat what other people are doing without contribution. Second, who works in their lab?
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by tnecniv 3y ago
Yeah normally when I do this, it’s because I picked bad abstractions. The main business logic I can bring over almost line by line, but I want to reshape the abstractions / data structures / interface to that logic
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by tnecniv 3y ago
I both enjoyed and hate this article. It did provide a chance for me to revisit the fundamental concept of rotating reference frames for the first time in a long time and, given that I know mechanics way better than the last time I thought
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by tnecniv 3y ago
Simple is not synonymous with easy.
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by tnecniv 3y ago
My hypothesis has been that the saying is due to how we generally think about power supplies. The voltage is a fixed quantity but the current fluctuates based on what the circuit asks for and what the power supply can give you. Something co
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by tnecniv 3y ago
Ah yes, let me triangulate myself with one point
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by tnecniv 3y ago
Clearly K is an element of some kind of algebraic structure here
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by tnecniv 3y ago
You can actually compute that! Model your agent’s dynamics (even just pick a double integrator, I.e., an agent where the acceleration is controlled, or something) and pick a value for the GPS covariance. You can compute the infinite-time l
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by tnecniv 3y ago
For me, the last point depends on the concept. Sometimes I start with a geometric idea in 2D and see if it generalizes. Other times I think of a 2D caricature that encapsulates some important operation but doesn’t necessarily relate to the
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by tnecniv 3y ago
Do you have a good reference? Preferably one that mentions a control application because I’m curious to see what the model assumptions and speed look like in that context
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by tnecniv 3y ago
In addition to what others (and I) said elsewhere, where the Kalman filter beats the simple average is when your samples are not identically and independently distributed. If they were, then yes, you can just take an average as justified by
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by tnecniv 3y ago
That paper contains an interesting reference to an exact generalization of the KF to a flat initial condition. I hadn’t seen that before and solves numerical issues that come from the common practice of just picking a large initial covarian

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