Alexander Terenin
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Big career news: I'm leaving academia - and moving to the San Francisco Bay Area to explore something new. I've written a short blog post with a few reflections on the end of this chapter. If you'd like to catch up, now is the time to reach out! avt.im/blog/the-roa...
The Road Less Traveled
avt.im
Happy to share a major milestone: after years of development, we are officially launching Version 1.0 of the GeometricKernels library! To top it off, our accompanying paper has just been published in JMLR (MLOSS)! 🎉 github.com/geometric-ke...
I wrote a long, detailed blog post on the state of AI and machine learning. The post's purpose is to sharpen my thinking and help ensure I work on the right things over the next few years. You might find parts of it interesting. Comments are welcome. avt.im/blog/where-a...
After a delayed flight and missing my first poster, I have officially arrived at NeurIPS! I’ll present another poster tomorrow at CDE 606 from 11-2. I’ll post more on this soon. If you’re interested in meeting up, let’s get in touch!
Today, I gave a talk at the INFORMS Job Market Showcase! If you're interested, here are the slides - link below! presentations.avt.im/2025-10-26-A...
Paper update: our recent work on Thompson sampling has a shiny new - and I hope much better - name! This new name does much better job of emphasizing what we actually do. Joint work with Jeff Negrea. Thread below!
At ICML, we're presenting a paper on uncertainty-aware surface reconstruction! Compared to previous approaches, we are able to completely remove the need for recursive linear solves for reconstruction and interpolation, using geometric GP machinery. Check it out!
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Noémie Jaquier (KTH Royal Institute of Technology) On Riemannian Latent Variable Models and Pullback Metrics Livestream link: www.youtube.com/watch?v=61Be...
We've got a major update to our preprint on adversarial regret guarantees for Thompson sampling! As before, I think this is one of the most important projects I've worked on due to new algorithmic primitives that it - in principle - unlocks. Thread below on what's new!
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Noémie Jaquier (KTH Royal Institute of Technology) On Riemannian Latent Variable Models and Pullback Metrics Sign-up link: gp-seminar-series.github.io
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Marvin Pförtner (University of Tübingen) Computation-Aware Kalman Filtering and Smoothing YouTube livestream: www.youtube.com/watch?v=0tG2...
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Marvin Pförtner (University of Tübingen) Computation-Aware Kalman Filtering and Smoothing Sign-up link: gp-seminar-series.github.io
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Yingzhen Li (Imperial College London) On "Modernising" Sparse Gaussian Processes YouTube livestream: www.youtube.com/watch?v=VbGW...
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Yingzhen Li (Imperial College London) On Modernising Sparse Gaussian Processes Sign-up link below!
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Sebastian Ament (Meta) Unexpected Improvements to Expected Improvement for Bayesian Optimization YouTube livestream: www.youtube.com/watch?v=B71O...
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Sebastian Ament (Meta) Unexpected Improvements to Expected Improvement for Bayesian Optimization Sign-up link: gp-seminar-series.github.io
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Paul Jensen (University of Michigan) Exploring phenotypes and genotypes with a robot scientist YouTube livestream: www.youtube.com/watch?v=UJQ2...
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Paul Jensen (University of Michigan) Exploring phenotypes and genotypes with a robot scientist Sign-up link below! gp-seminar-series.github.io
PSA: If your GitHub Pro account expires - for instance due to a slow edu discount renewal - your GitHub Pages will go offline ***and might redirect to a SPAM website***! I have no idea technically how. If you land in this situation, move your DNS off GH pages immediately!
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Qian Xie (Cornell University) Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index www.youtube.com/watch?v=T2IT... gp-seminar-series.github.io
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Qian Xie (Cornell) Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Sign-up link here: gp-seminar-series.github.io
This week’s virtual seminar on Bayesian Decision-making and Uncertainty is happening now! Frank Hutter (University of Freiburg) Accurate predictions on small data (and time series) with the tabular foundation model TabPFN YouTube: www.youtube.com/watch?v=SOXK... gp-seminar-series.github.io
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty! Frank Hutter · University of Freiburg Accurate predictions on small data (and time series) with the tabular foundation model TabPFN Sign-up link below! gp-seminar-series.github.io
Excited to announce our new work on reasoning and retrieval evaluation in LLMs! 😊 Check it out!
Anmol Kabra@anmolkabra.com · last yr.🚀 📢 Releasing PhantomWiki, a reasoning + retrieval benchmark for LLM agents! If I asked you "Who is the friend of father of mother of Tom?", you'd simply look up Tom -> mother -> father -> friend and answer. 🤯 SOTA LLMs, even DeepSeek-R1, struggle with such simple reasoning!
New preprint! This is a hardcore technical paper on Thompson sampling - as a strategy for the so-called online learning game. I think it's one of the most long-term important things I have ever worked on due to what it makes possible. That needs explaining: thread below! arxiv.org/abs/2502.14790
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces
We develop an analysis of Thompson sampling for online learning under full feedback - also known as prediction with expert advice - where the learner's prior is defined over the space of an adversary'...
arxiv.org
I think every designer should write a love letter to a font at least once in their lifetime. This is mine: A 150-year-old font you have likely never heard of, and one you probably saw earlier today. aresluna.org/the-hardest-...
The hardest working font in Manhattan
A story of a 150-year-old font you have never heard of – and one you probably saw earlier today.
aresluna.org
Excited to share our ICLR 2025 oral "Residual Deep Gaussian Processes on Manifolds"! With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n
Good news! GeometricKernels now supports the new 𝑯𝒐𝒅𝒈𝒆-𝒄𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏𝒂𝒍 𝒌𝒆𝒓𝒏𝒆𝒍𝒔 for flow-type data on graphs (thnx Maosheng Yang). Example notebook: geometric-kernels.github.io/GeometricKer.... For the theory behind, see arxiv.org/abs/2310.19450. Some details below.
