Backend
Polyhedral Geometry of Degree-Bounded Characteristic Imset Polytopes
arXiv stat.TH0 views
arXiv:2611.09633v1 Announce Type: cross Abstract: Characteristic imset polytopes are convex hulls of a collection of characteristic imset vectors, which are 0/1 vectors that encode the Markov equivalence class of a directed acyclic graph. These polytopes are the feasible region of linear programs which correspond to causal discovery problems. We introduce a new family of these polytopes whose vertices correspond to directed acyclic graphs with in-degree bounded by $k$. This yields a polytope whose dimension is only polynomial in the number of nodes of the underlying graphs instead of exponential. We show that when $k = 1$, this polytope is a matroid independence polytope. For $k = 2$ we provide several large families of facet-defining inequalities, which give a complete $\mathcal{H}$-representation of the polytope on four nodes.
Source:https://arxiv.org/abs/2611.09633PreviousDiscrete total variation under the multinomial, Part 4: variance under a general distributionNextLimit laws for the friendship paradox in random geometric graphs
Related posts
![AMR AI and Embodied Intelligence — Ch.12: Scene Understanding [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F3xad6ecur51evijoziky.png)
AMR AI and Embodied Intelligence — Ch.12: Scene Understanding [EN]
0dev.to
![AMR AI and Embodied Intelligence — Ch.15: Embodied AI [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F2b7ws9pmj9fexqpbtl14.png)
AMR AI and Embodied Intelligence — Ch.15: Embodied AI [EN]
0dev.to
![AMR AI and Embodied Intelligence — Ch.16: Edge AI for AMR [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fmqp31rp4k9dph48ghovh.png)
AMR AI and Embodied Intelligence — Ch.16: Edge AI for AMR [EN]
0dev.to
![AMR AI and Embodied Intelligence — Ch.17: Low Mid High AI Architecture [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F9g5fenohiv4y3nawwklt.png)
AMR AI and Embodied Intelligence — Ch.17: Low Mid High AI Architecture [EN]
0dev.to
![AMR AI and Embodied Intelligence — Ch.18: GPU and Accelerator Design [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fospxyzadkcmpo8xjqyok.png)
AMR AI and Embodied Intelligence — Ch.18: GPU and Accelerator Design [EN]
0dev.to
![AMR AI and Embodied Intelligence — Ch.19: Cloud Robot Architecture [EN]](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F59osofl1km4y8vngcpzs.png)
AMR AI and Embodied Intelligence — Ch.19: Cloud Robot Architecture [EN]
0dev.to