Liam Solus

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Structure Learning

Bayesian Networks

Factor Analysis

Top Venues

J. Comb. Theory, Ser. A

Adv. Appl. Math.

Discret. Appl. Math.

Publications

Felix Leopoldo Rios, Alex Markham, Liam Solus
Scalable Structure Learning for Sparse Context-Specific Causal Systems. CoRR (2024)
Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus
Neuro-Causal Factor Analysis. CoRR (2023)
Svante Linusson, Petter Restadh, Liam Solus
Greedy Causal Discovery Is Geometric. SIAM J. Discret. Math. 37 (1) (2023)
Max Hlavacek, Liam Solus
Subdivisions of shellable complexes. J. Comb. Theory, Ser. A 186 (2022)
Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
Causal Structure Learning with Greedy Unconditional Equivalence Search. CoRR (2022)
Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. PGM (2022)
Elisa Perrone, Liam Solus, Caroline Uhler
Geometry of discrete copulas. J. Multivar. Anal. 172 (2019)
Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler
Counting Markov equivalence classes for DAG models on trees. Discret. Appl. Math. 244 (2018)
Benjamin Braun, Robert Davis, Liam Solus
Detecting the integer decomposition property and Ehrhart unimodality in reflexive simplices. Adv. Appl. Math. 100 (2018)
Benjamin Braun, Liam Solus
-Stable hypersimplices. J. Comb. Theory, Ser. A 157 (2018)
Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler
Permutation-based Causal Inference Algorithms with Interventions. NIPS (2017)
Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler
Counting Markov Equivalence Classes by Number of Immoralities. UAI (2017)