@ltronneberg
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
From someone who made the switch sociology->maths, there is a really odd «methodology hierarchy» in parts of social science. For some reason quantitative is deemed «harder than» qualitative, therefore better — total nonsense of course. Methods should adapt to research questions. Stick to your guns!
Very interesting, and congrats to the fresh doctor! this reminded me of this blog post from a while back viewing this as a changepoint detection problem. Trying to figure out when in the text author 2 took over from author 1
Nice.
Show us the figure!
Yeah, I'm sure there is literature here, I just need to dig a bit! I've been doing some quite crude thresholding so far to decide when things are low-rank 'enough' for the switch. This works sometimes, but seem to also interfere with adaptation of my HMC sampler
Working on something very much in this vein right now actually. I have a super high-dim problem where due to sparsity the problem becomes low rank during sampling. Wanting to then switch from doing inverses via Cholesky to inverses with Woodbury -- but quite fiddly numerically so far...
oh thanks! my role was tiny though, the first author (a master's student (!)) is fantastic and did the work
At a conference this summer a guy referred to papers from the late 90s as «turn of the last century»…
Been a while since I looked into this but the Hutch++ paper has some optimality results I think as well as some refs to variance reduction techniques arxiv.org/abs/2010.09649 ( from 2021 though, so I'm sure a lot has happened since )
autodiff is cool and all, but have you tried manually computing the gradient to avoid too many variables on the autodiff tape..??? (screenshot of me trying to avoid autodiffing through large Gram matrices)
I'm looking for a Doctoral Researcher (PhD student) to work with me on simulation-based inference at Data Science Research Centre, Tampere University Check the link for details and send an application before October 10th.
tuni.rekrytointi.com/paikat/?o=A_...
Playing around plotting some chemical structure embeddings coming from a VAE, and colouring by local intrinsic dimension looks almost like these colour blind test images.
«– Når det ikkje er nokon risiko for å bli avslørt, og inga form for straff for å lyge, ventar vi frå standard økonomisk teori at alle skulle ha loge, seier Bjorvatn.»
Økonom overrasket at folk flest ikke tenker som økonomer
JOBS ALERT! PhD position & 3-y postdoc position in statistics within my research group at @ocbe.bsky.social @uio.no
Both are linked to a project funded from the Research Council of Norway on Integrative Bayesian clustering for high-dim data in omics
Deadline: 13 June 2025
More info & links below!
Join us in beautiful Oslo!
Associate Professor @ocbe.bsky.social
@uio.no
Deadline May 18th
www.jobbnorge.no/en/available...
Glad to see this happening! I never understood why UK dads were not marching in the street already when I saw that my UK employer only offered *two weeks* paternity leave. Coming from Norway I had to trade in a minimum 4 months leave for a measly two weeks -- time with my daughter I won't get back.
I’d also be interested in this, Martin. How it is structured, what is covered, what the pre-requisites are etc
I think that could indeed be quite illuminating. Often we approach these topics trying to make them practical without requiring too much mathematical setup. You don’t *need* stochastic process theory to get at the core of GP regression, but you might need it to understand the finer details later on
Interesting post! I helped run a similar module in Cambridge last year were we tried to cram in too much, covering basics of GPs *and* DPs. If the emphasis is on BNP I think one must mention DPs at some point, though it is a step up in abstraction compared to GPs. «distribution of distributions» etc
It can be bounded from below and above, by \sqrt{n} and n, respectively. These cases each reflect say an extreme lengthscale, ell=\infty or ell=0, and so it appears almost like a measure of complexity. I'm struggling to come up with an intuitive explanation.
Does anyone have any ideas/references?
Here, in the context of GP regression, K refers to the n x n Gram matrix associated with a set of inputs and a covariance function, while lambda_j refers to the eigenvalues of K.
Working on a model involving some GP regression, coupled with a horseshoe prior for variable selection. In an attempt at counting the number of effective parameters of my model, the following quantity pops out quite naturally. Is this a well known quantity? 1/2
Maybe I'll add that the call is very general across "computational science", encompassing biology, chemistry, physics etc. alongside maths & stats. Bayesian machine learning is just one of the projects within our department, see the link below
www.uio.no/dscience/eng...
Second call for the DSTrain Postdoctoral programme @uio.no is up! The university is hiring 18 postdocs across 9 research areas and over 60 loosely defined projects.
Come work on Bayesian machine learning with us in beautiful Oslo
Deadline April 6th, please share!
Are you assuming you are able to compute the derivatives as well, or simply that you know they are non-negative?
Klassisk økonomfjas. Det er ikke modellene våre eller måleinstrumentene det er noe galt med — folk lider av «fantomfattigdom» borsen.dagbladet.no/nyheter/nord...
Great department, great group, great city!
Engebretsen viser til at Skatteetaten fleire gonger har fått spørsmål om burettslagsmodellen er lovleg, noko dei har stadfesta at han er. – Dette er ikkje noko skattemessig smotthol på noko som helst måte, sier han.
Tvert i mot, dette er på alle måter et skattemessig smutthull. Det er faktisk nøyaktig hva det er: Noe som teknisk sett ikke er ulovlig, men åpenbart heller ikke i tråd med intensjonen. Intensjonen er neppe at eiendomsbaroner skal få skattefritak.
Overbygningen er vel laget av stål..?
It's quite ironic that the term was first coined in a sociological essay warning *against* meritocracy, rather than lifting it up as an ideal.
Always fun little tidbits on the wikis of famous mathematicians. Here on Riesz Frigyes' (*of the* Riesz representation theorem) lecturing style