Liam Solus

According to our database, Liam Solus authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Structure Learning for Sparse Context-Specific Causal Systems.

Felix Leopoldo Rios, Alex Markham, Liam Solus

CoRR, 2024

2023

Greedy Causal Discovery Is Geometric.

Svante Linusson, Petter Restadh, Liam Solus

SIAM J. Discret. Math., March, 2023

Neuro-Causal Factor Analysis.

Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus

CoRR, 2023

2022

Subdivisions of shellable complexes.

Max Hlavacek, Liam Solus

J. Comb. Theory A, 2022

Causal Structure Learning with Greedy Unconditional Equivalence Search.

Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus

CoRR, 2022

A Transformational Characterization of Unconditionally Equivalent Bayesian Networks.

Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2019

Geometry of discrete copulas.

Elisa Perrone, Liam Solus, Caroline Uhler

J. Multivar. Anal., 2019

2018

<i>r</i>-Stable hypersimplices.

Benjamin Braun, Liam Solus

J. Comb. Theory A, 2018

Counting Markov equivalence classes for DAG models on trees.

Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler

Discret. Appl. Math., 2018

Detecting the integer decomposition property and Ehrhart unimodality in reflexive simplices.

Benjamin Braun, Robert Davis, Liam Solus

Adv. Appl. Math., 2018

2017

Counting Markov Equivalence Classes by Number of Immoralities.

Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Permutation-based Causal Inference Algorithms with Interventions.

Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017