Yuga Hikida

The abstract submission deadline for the ELLIS Workshop on Amortized Probabilistic ML has been extended to October 25th!

You still have time to submit a short abstract on your work in: Amortized Inference, Neural processes, Prior-fitted networks, Sequential Decision-Making, and Foundation models.

Just finished delivering a course on 'Robust and scalable simulation-based inference (SBI)' at Greek Stochastics. This covered an introduction to SBI, open challenges, and some recent contributions from my own group.

The slides are now available here: fxbriol.github.io/pdfs/slides-....

New ICML 2025 paper: Robust Spatio-Temporal GP Regression!

We propose a new GP method with linear-in-time cost that is provably robust to outliers. Unlike competitors, our method is fully conjugate and requires no expensive variational inference!

📄 arxiv.org/abs/2502.02450

I found an interesting app 👀

Cost-aware simulation-based inference Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computation...

"Cost-aware simulation-based inference" is accepted at AISTATS 2025.

Check out our poster #205 on Sunday May 4th in Hall A-E if you are in Phuket. Finland's rising star @huangdaolang.bsky.social will be there to assist you :D

arxiv.org/abs/2410.07930

@fxbriol.bsky.social @samikaski.bsky.social

Quick note on Normalising flow for SBI

lol

there's a lot of insight and interesting discussion in the review paper "Simulation-based Bayesian inference under model
misspecification"

arxiv.org/abs/2503.123...

My research aims to build a “pressure cooker” for Simulation-Based Inference—maintaining the same computational cost while producing superior results. And yet, in my kitchen, I patiently slow-cook oxtail for three hours in a conventional pot.

Good luck! 🤞

Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...

🙏 Please help us improve the SBI toolbox! 🙏

In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow.

👉 Please share your thoughts here: forms.gle/foHK7myV2oaK...

Your input will make a big difference—thank you! 🙌

Bluesky🦋のアカウントを作りました！アカウントをお持ちの方はぜひフォローお願いします！
今後はBlueskyでも #JapanR について発信していきます。
どうぞよろしくお願いします！

@japanr.bsky.social

We've created a Bluesky account! Follow us!
We're posting Japan.R info here too.

#RStatsJ

Very useful resource for ML phd starter like me:

users.aalto.fi/~heinom10/ad...

Optimizing decision utility in Bayesian experimental design is key to improving downstream decision-making.

Excited to share our #NeurIPS2024 paper on Amortized Decision-Aware Bayesian Experimental Design: arxiv.org/abs/2411.02064

@lacerbi.bsky.social @samikaski.bsky.social

Details below.

Any single analysis hides an iceberg of uncertainty.

Sensitivity-aware amortized inference explores the iceberg:
⋅ Test alternative priors, likelihoods, and data perturbations
⋅ Deep ensembles flag misspecification issues
⋅ No model refits required during inference

🔗 openreview.net/forum?id=Kxt...

BayesFlow is a library for amortized Bayesian inference with neural networks.

⋅ Multi-backend via Keras 3: Use PyTorch, TensorFlow, or JAX.
⋅ Modern nets: Flow matching, diffusion, consistency models, normalizing flows, transformers
⋅ Built-in diagnostics and plotting

🔗 github.com/bayesflow-or...

To celebrate the new beginnings on Bluesky, let's reminisce about one of our highlights from the old days:

The unexpected shout-out by @fchollet.bsky.social that made everyone go crazy on the BayesFlow Slack server and led to a 15% increase in GitHub stars.

The ✨ML Internship Feed✨ is here!

@serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas.

The feed is rule-based. Please help us improve the rules by sharing feedback 🧡

🔗 Link to the feed: bsky.app/profile/did:...

The beta version of BayesFlow 2.0 is becoming more powerful and stable by the day. If you are curious about Amortized Bayesian Inference, give BayesFlow a try!
github.com/bayesflow-or...

exciting new seminar series on "Post-Bayes" organised by Jeremias Knoblauch (he is not in Bluesky yet)

Thank you!

Could you add me?

That is soo cool! I will check it up

does bluesky support starter pack of starter packs

Oh, I did not know that. Thank you for letting me know!

I don't really have a reason tbh for me as long as it works its fine 😅 but maybe code looks cleaner if I stick to iconify?

Alignment of bluesky logo in #Quarto site can be fixed by setting all the other logos as "text" as well instead of "icon".

website: page-footer: right: - text: "{{< iconify simple-icons bluesky >}}" href: https://bsky.app/profile/ivelasq3.bsky.social

Want to add a Bluesky icon to your #Quarto site? 🦋

• Install quarto-iconify: github.com/mcanouil/qua...
• Add as 'text'

- text: "{{< iconify simple-icons bluesky >}}"
href: bsky.app/profile/ivel...

Example code: github.com/ivelasq/pipe...
Related GH link: github.com/quarto-dev/q...

congratulations 🎉