@david-huk.bsky.social
Reposted
New paper by David Huk and Theo Damoulas! They model copulas based on the principles of diffusions and flows through processes that preserve marginal distributions but forget the dependence. Link to the paper 👉 arxiv.org/abs/2509.1....
October 29, 2025 at 11:29 AM
New paper by David Huk and Theo Damoulas! They model copulas based on the principles of diffusions and flows through processes that preserve marginal distributions but forget the dependence. Link to the paper 👉 arxiv.org/abs/2509.1....
Reposted
18. arxiv.org/abs/2509.19707
'Diffusion and Flow-based Copulas'
-David Huk, Theodoros Damoulas
If a distribution has standard Gaussian marginals, then one can smoothly interpolate it towards an exact Gaussian along a path which never changes those marginals, only altering the copula.
'Diffusion and Flow-based Copulas'
-David Huk, Theodoros Damoulas
If a distribution has standard Gaussian marginals, then one can smoothly interpolate it towards an exact Gaussian along a path which never changes those marginals, only altering the copula.
October 4, 2025 at 3:55 PM
18. arxiv.org/abs/2509.19707
'Diffusion and Flow-based Copulas'
-David Huk, Theodoros Damoulas
If a distribution has standard Gaussian marginals, then one can smoothly interpolate it towards an exact Gaussian along a path which never changes those marginals, only altering the copula.
'Diffusion and Flow-based Copulas'
-David Huk, Theodoros Damoulas
If a distribution has standard Gaussian marginals, then one can smoothly interpolate it towards an exact Gaussian along a path which never changes those marginals, only altering the copula.
Reposted
My Pint of Science talk on bayesian statistics and its role in early phase trial design is now available on YouTube!
It was an honour to represent the Alan Turing Institute and @icr.ac.uk at #pint24 last year. I hope it’s a useful resource for those interested.
youtu.be/-471AqKp9bw?...
It was an honour to represent the Alan Turing Institute and @icr.ac.uk at #pint24 last year. I hope it’s a useful resource for those interested.
youtu.be/-471AqKp9bw?...
Learning the BAYESics - Statistic's most powerful theorem - Emily Alger - Pint of Science 2024
YouTube video by The Alan Turing Institute
youtu.be
May 27, 2025 at 3:04 PM
My Pint of Science talk on bayesian statistics and its role in early phase trial design is now available on YouTube!
It was an honour to represent the Alan Turing Institute and @icr.ac.uk at #pint24 last year. I hope it’s a useful resource for those interested.
youtu.be/-471AqKp9bw?...
It was an honour to represent the Alan Turing Institute and @icr.ac.uk at #pint24 last year. I hope it’s a useful resource for those interested.
youtu.be/-471AqKp9bw?...
Reposted
New paper accepted in AISTATS! David Huk (@david-huk.bsky.social), Mark Steel and Ritabrata Dutta show that any copula can be represented as a classification problem, giving a new approach to model copula densities. Link to preprint:
tinyurl.com/RatioCopula
tinyurl.com/RatioCopula
February 28, 2025 at 12:00 PM
New paper accepted in AISTATS! David Huk (@david-huk.bsky.social), Mark Steel and Ritabrata Dutta show that any copula can be represented as a classification problem, giving a new approach to model copula densities. Link to preprint:
tinyurl.com/RatioCopula
tinyurl.com/RatioCopula
Reposted
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
Generalized Bayesian deep reinforcement learning
https://arxiv.org/abs/2412.11743
Generalized Bayesian deep reinforcement learning
https://arxiv.org/abs/2412.11743
December 17, 2024 at 6:19 AM
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
Generalized Bayesian deep reinforcement learning
https://arxiv.org/abs/2412.11743
Generalized Bayesian deep reinforcement learning
https://arxiv.org/abs/2412.11743
Want ⚡-fast and efficient density estimation with Bayesian properties? Quasi-Bayesian Vines are the tool you need!
We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.
tinyurl.com/53vmafc8
We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.
tinyurl.com/53vmafc8
December 13, 2024 at 5:27 AM
Want ⚡-fast and efficient density estimation with Bayesian properties? Quasi-Bayesian Vines are the tool you need!
We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.
tinyurl.com/53vmafc8
We get predictive densities through recursion without any MCMC. Check out the #NeurIPS2024 poster on Friday from 4:30 to 7:30 PM in the East Exhibit Hall #3806.
tinyurl.com/53vmafc8
Reposted
(2/x)
When someone wants to become a scientist, this comes with responsibilities. They want their paper to be properly reviewed, read, and even cited. They must also contribute to keeping science as rigorous possible by writing quality reviews.
When someone wants to become a scientist, this comes with responsibilities. They want their paper to be properly reviewed, read, and even cited. They must also contribute to keeping science as rigorous possible by writing quality reviews.
November 25, 2024 at 11:24 AM
(2/x)
When someone wants to become a scientist, this comes with responsibilities. They want their paper to be properly reviewed, read, and even cited. They must also contribute to keeping science as rigorous possible by writing quality reviews.
When someone wants to become a scientist, this comes with responsibilities. They want their paper to be properly reviewed, read, and even cited. They must also contribute to keeping science as rigorous possible by writing quality reviews.
🤔Question: How do you scale recursive prediction to high dimensions?
💡Answer: with copulas!
Check out our "Quasi-Bayes meets Vines" paper, accepted at #neurips2024, and come say hi at the poster session in Vancouver!
🎥(5 min video) tinyurl.com/ycpu23cw
📄(Paper) tinyurl.com/2s4f96tm
💡Answer: with copulas!
Check out our "Quasi-Bayes meets Vines" paper, accepted at #neurips2024, and come say hi at the poster session in Vancouver!
🎥(5 min video) tinyurl.com/ycpu23cw
📄(Paper) tinyurl.com/2s4f96tm
Quasi Bayes meets vines
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
tinyurl.com
November 20, 2024 at 2:11 PM
🤔Question: How do you scale recursive prediction to high dimensions?
💡Answer: with copulas!
Check out our "Quasi-Bayes meets Vines" paper, accepted at #neurips2024, and come say hi at the poster session in Vancouver!
🎥(5 min video) tinyurl.com/ycpu23cw
📄(Paper) tinyurl.com/2s4f96tm
💡Answer: with copulas!
Check out our "Quasi-Bayes meets Vines" paper, accepted at #neurips2024, and come say hi at the poster session in Vancouver!
🎥(5 min video) tinyurl.com/ycpu23cw
📄(Paper) tinyurl.com/2s4f96tm