Daolang Huang @DaolangHuang
PhD student at @AaltoUniversity @FCAI_fi. Interested in probabilistic machine learning, Bayesian inference and amortization. huangdaolang.com Helsinki, Suomi Joined October 2016-
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Daolang Huang retweeted
New blog post! You can train a neural network to *just do things* -- such as *predict the optimum of a function*. But how do you get a big training dataset of "functions with known optima"? Read the blog post to find out! (link 👇)
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Daolang Huang retweeted
1/ We asked GPT-4.5 -- allegedly the model with the best sense of humor, according to you folks -- to write a comic about our recent AISTATS paper on the Amortized Conditioning Engine (ACE). Then gpt-4o drew it. You judge the result... (thread continues 👇)
Daolang Huang retweeted
1/ Introducing ACE (Amortized Conditioning Engine)! Our new paper @aistats_conf presents a transformer framework that unifies tasks from image completion to BayesOpt & simulator-based inference under *one* probabilistic conditioning approach. It's Bayes all the way down!
Daolang Huang retweeted
My collaborator @ayushb05 will be presenting our recently accepted AISTATS paper on 'cost-aware simulation-based inference' at the next One World ABI Seminar on the 27th February. arXiv paper: arxiv.org/abs/2410.07930 Seminar series: warwick.ac.uk/fac/sci/statis…
Daolang Huang retweeted
1/ Did they fool you into thinking that variational inference is just "the lesser way" of doing Bayesian inference? Please let me argue otherwise. lacerbi.github.io/blog/2024/vi-i… Or just come to play with the interactive VI widget that took me way too long to code up.
Daolang Huang retweeted
1/ Excuse me, can I interest you in eliciting your beliefs as flexible probability distributions? No worries, we only need pairwise comparisons or rankings, no personal details. Led by **Petrus Mikkola** and joint with **Arto Klami**, to be presented soon at #NeurIPS2024
We present a simple and effective method to reduce the cost of simulations in SBI. The source code is available at github.com/huangdaolang/c…
We present a simple and effective method to reduce the cost of simulations in SBI. The source code is available at github.com/huangdaolang/c…
Daolang Huang retweeted
Cost-aware Simulation-based Inference ift.tt/FkCDQz4
Daolang Huang retweeted
I am also hiring a PhD student to work on SBI with me and @samikaski in connection with the grant. Position includes fully funded research visit to @fx_briol's group @stats_UCL. aalto.wd3.myworkdayjobs.com/aalto/job/Otan…
Daolang Huang retweeted
1/📯I am hiring!📯 Two-year postdoctoral position in Sample-Efficient Probabilistic Machine Learning @UnivHelsinkiCS with strong links to @FCAI_fi Please see blurb below, and full ad here: helsinki.fi/en/researchgro…
Daolang Huang retweeted
New Preprint Alert! 📢 Classical decision theory has helped humans make rational decisions under uncertainty for decades. Can it do the same for Large Language Models? We present DeLLMa (“dilemma”), a Decision-making LLM assistant. 🔗 DeLLMa.github.io 1/🧵
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