#probabilisticcircuits — Public Fediverse posts

I’m in #Vancouver for the next month. If someone wants meet for chats on #probabilistic #MachineLearning, #ProbabilisticCircuits, or #ProbabilisticProgramming feel free to DM me!

I’m in #Vancouver for the next month. If someone wants meet for chats on #probabilistic #MachineLearning, #ProbabilisticCircuits, or #ProbabilisticProgramming feel free to DM me!

I’m in #Vancouver for the next month. If someone wants meet for chats on #probabilistic #MachineLearning, #ProbabilisticCircuits, or #ProbabilisticProgramming feel free to DM me!

I’m in #Vancouver for the next month. If someone wants meet for chats on #probabilistic #MachineLearning, #ProbabilisticCircuits, or #ProbabilisticProgramming feel free to DM me!

I’m in #Vancouver for the next month. If someone wants meet for chats on #probabilistic #MachineLearning, #ProbabilisticCircuits, or #ProbabilisticProgramming feel free to DM me!

I planned to write a blog post/technical note every month. The next will be about #Bayesian priors in #deeplearning and hopefully finished before March (unfortunately, it’s very delayed as I’m too busy).

After this I will write about #probabilisticcircuits, I promise. :)

I planned to write a blog post/technical note every month. The next will be about #Bayesian priors in #deeplearning and hopefully finished before March (unfortunately, it’s very delayed as I’m too busy).

After this I will write about #probabilisticcircuits, I promise. :)

I planned to write a blog post/technical note every month. The next will be about #Bayesian priors in #deeplearning and hopefully finished before March (unfortunately, it’s very delayed as I’m too busy).

After this I will write about #probabilisticcircuits, I promise. :)

I planned to write a blog post/technical note every month. The next will be about #Bayesian priors in #deeplearning and hopefully finished before March (unfortunately, it’s very delayed as I’m too busy).

After this I will write about #probabilisticcircuits, I promise. :)

I planned to write a blog post/technical note every month. The next will be about #Bayesian priors in #deeplearning and hopefully finished before March (unfortunately, it’s very delayed as I’m too busy).

After this I will write about #probabilisticcircuits, I promise. :)

I'm happy to share that our paper "Bayesian Structure Scores for Probabilistic Circuits" has been accepted at #aistats23! This is joint work with Yang Yang (MSc @mastodon.world, incoming PhD @leuvenai and Gennaro Gala.

The main contribution of the paper is to propose a new (actually old) way to learn the structure of #ProbabilisticCircuits. We take lessons from classical structure learning in Bayesian networks which optimizes some structure score, where a principled choice is a Bayesian score.

I'm happy to share that our paper "Bayesian Structure Scores for Probabilistic Circuits" has been accepted at #aistats23! This is joint work with Yang Yang (MSc @mastodon.world, incoming PhD @leuvenai and Gennaro Gala.

The main contribution of the paper is to propose a new (actually old) way to learn the structure of #ProbabilisticCircuits. We take lessons from classical structure learning in Bayesian networks which optimizes some structure score, where a principled choice is a Bayesian score.

I'm happy to share that our paper "Bayesian Structure Scores for Probabilistic Circuits" has been accepted at #aistats23! This is joint work with Yang Yang (MSc @mastodon.world, incoming PhD @leuvenai and Gennaro Gala.

The main contribution of the paper is to propose a new (actually old) way to learn the structure of #ProbabilisticCircuits. We take lessons from classical structure learning in Bayesian networks which optimizes some structure score, where a principled choice is a Bayesian score.

I'm happy to share that our paper "Bayesian Structure Scores for Probabilistic Circuits" has been accepted at #aistats23! This is joint work with Yang Yang (MSc @mastodon.world, incoming PhD @leuvenai and Gennaro Gala.

The main contribution of the paper is to propose a new (actually old) way to learn the structure of #ProbabilisticCircuits. We take lessons from classical structure learning in Bayesian networks which optimizes some structure score, where a principled choice is a Bayesian score.

I'm happy to share that our paper "Bayesian Structure Scores for Probabilistic Circuits" has been accepted at #aistats23! This is joint work with Yang Yang (MSc @mastodon.world, incoming PhD @leuvenai and Gennaro Gala.

The main contribution of the paper is to propose a new (actually old) way to learn the structure of #ProbabilisticCircuits. We take lessons from classical structure learning in Bayesian networks which optimizes some structure score, where a principled choice is a Bayesian score.