Alexander Terenin - on the faculty job market
@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
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Pinned
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!
This new name does much better job of emphasizing what we actually do.
Joint work with Jeff Negrea. Thread below!
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...
If you're interested, here are the slides - link below!
presentations.avt.im/2025-10-26-A...
October 26, 2025 at 8:16 PM
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...
If you're interested, here are the slides - link below!
presentations.avt.im/2025-10-26-A...
Reposted by Alexander Terenin - on the faculty job market
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!
This new name does much better job of emphasizing what we actually do.
Joint work with Jeff Negrea. Thread below!
September 29, 2025 at 7:55 PM
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!
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!
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!
July 17, 2025 at 6:24 PM
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!
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...
Noémie Jaquier (KTH Royal Institute of Technology)
On Riemannian Latent Variable Models and Pullback Metrics
Livestream link: www.youtube.com/watch?v=61Be...
June 2, 2025 at 4:06 PM
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...
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!
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!
May 30, 2025 at 5:42 PM
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!
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
Noémie Jaquier (KTH Royal Institute of Technology)
On Riemannian Latent Variable Models and Pullback Metrics
Sign-up link: gp-seminar-series.github.io
May 29, 2025 at 7:09 PM
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
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...
Marvin Pförtner (University of Tübingen)
Computation-Aware Kalman Filtering and Smoothing
YouTube livestream: www.youtube.com/watch?v=0tG2...
May 26, 2025 at 4:12 PM
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...
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
Marvin Pförtner (University of Tübingen)
Computation-Aware Kalman Filtering and Smoothing
Sign-up link: gp-seminar-series.github.io
May 23, 2025 at 5:37 PM
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
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...
Yingzhen Li (Imperial College London)
On "Modernising" Sparse Gaussian Processes
YouTube livestream: www.youtube.com/watch?v=VbGW...
May 19, 2025 at 4:10 PM
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...
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!
Yingzhen Li (Imperial College London)
On Modernising Sparse Gaussian Processes
Sign-up link below!
May 14, 2025 at 3:12 PM
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!
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...
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
YouTube livestream: www.youtube.com/watch?v=B71O...
May 12, 2025 at 4:08 PM
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...
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
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sign-up link: gp-seminar-series.github.io
May 7, 2025 at 6:11 PM
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
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...
Paul Jensen (University of Michigan)
Exploring phenotypes and genotypes with a robot scientist
YouTube livestream: www.youtube.com/watch?v=UJQ2...
May 5, 2025 at 4:11 PM
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...
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
Paul Jensen (University of Michigan)
Exploring phenotypes and genotypes with a robot scientist
Sign-up link below!
gp-seminar-series.github.io
May 1, 2025 at 7:13 PM
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
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!
I have no idea technically how.
If you land in this situation, move your DNS off GH pages immediately!
April 30, 2025 at 1:42 PM
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!
I have no idea technically how.
If you land in this situation, move your DNS off GH pages immediately!
Online learning is like magic
new paper online:
"CONFIDENCE SEQUENCES FOR GENERALIZED LINEAR MODELS VIA REGRET ANALYSIS"
TL;DR: we reduce the problem of designing tight confidence sets for statistical models to proving the existence of small regret bounds in an online prediction game
read on for a quick thread 👀👀👀
1/
"CONFIDENCE SEQUENCES FOR GENERALIZED LINEAR MODELS VIA REGRET ANALYSIS"
TL;DR: we reduce the problem of designing tight confidence sets for statistical models to proving the existence of small regret bounds in an online prediction game
read on for a quick thread 👀👀👀
1/
April 24, 2025 at 3:12 AM
Online learning is like magic
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
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
April 14, 2025 at 5:17 PM
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
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
Qian Xie (Cornell)
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Sign-up link here: gp-seminar-series.github.io
April 9, 2025 at 9:38 PM
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
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
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
April 7, 2025 at 4:15 PM
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
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
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
April 2, 2025 at 9:33 PM
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
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
Reposted by Alexander Terenin - on the faculty job market
Excited to announce our new work on reasoning and retrieval evaluation in LLMs! 😊
Check it out!
Check it out!
🚀 📢 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!
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!
March 6, 2025 at 3:05 AM
Excited to announce our new work on reasoning and retrieval evaluation in LLMs! 😊
Check it out!
Check it out!
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
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
February 21, 2025 at 8:57 PM
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
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
Reposted by Alexander Terenin - on the faculty job market
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-...
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
February 14, 2025 at 9:35 PM
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-...
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-...
Reposted by Alexander Terenin - on the faculty job market
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
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
February 13, 2025 at 4:45 PM
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
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