Causality in the time of LLMs: Round table discussion results of CLeaR 2023
C. Zhang, D. Janzing, M. van der Schaar, F. Locatello, P. Spirtes, K. Zhang, B. Schölkopf, C. Uhler, in:, 2nd Conference on Causal Learning and Reasoning, 2023.

Generalized permutohedra from probabilistic graphical models
F. Mohammadi, C. Uhler, C. Wang, J. Yu, SIAM Journal on Discrete Mathematics 32 (2018) 64–93.

Learning directed acyclic graphs based on sparsest permutations
G. Raskutti, C. Uhler, STAT 7 (2018).

Exact goodness-of-fit testing for the Ising model
A. Martin Del Campo Sanchez, S.A. Cepeda Humerez, C. Uhler, Scandinavian Journal of Statistics 44 (2017) 285–306.

Total positivity in Markov structures
S. Fallat, S. Lauritzen, K. Sadeghi, C. Uhler, N. Wermuth, P. Zwiernik, Annals of Statistics 45 (2017) 1152–1184.

Maximum likelihood estimation for linear Gaussian covariance models
P. Zwiernik, C. Uhler, D. Richards, Journal of the Royal Statistical Society. Series B: Statistical Methodology 79 (2017) 1269–1292.

Orientation and repositioning of chromosomes correlate with cell geometry dependent gene expression
Y. Wang, M. Nagarajan, C. Uhler, G. Shivashankar, Molecular Biology of the Cell 28 (2017) 1997–2009.

Geometric control and modeling of genome reprogramming
C. Uhler, G.V. Shivashankar, BioArchitecture 6 (2016) 76–84.

Extremal positive semidefinite matrices whose sparsity pattern is given by graphs without K5 minors
L.T. Solus, C. Uhler, R. Yoshida, Linear Algebra and Its Applications 509 (2016) 247–275.

Exponential varieties
M. Michaek, B. Sturmfels, C. Uhler, P. Zwiernik, Proceedings of the London Mathematical Society 112 (2016) 27–56.

Faithfulness and learning hypergraphs from discrete distributions
A. Klimova, C. Uhler, T. Rudas, Computational Statistics &; Data Analysis 87 (2015) 57–72.

Sphere packing with limited overlap
M. Iglesias Ham, M. Kerber, C. Uhler, in:, 26th Canadian Conference on Computational Geometry, Canadian Conference on Computational Geometry, 2014, pp. 155–161.

Scalable privacy-preserving data sharing methodology for genome-wide association studies
F. Yu, S. Fienberg, A. Slakovi, C. Uhler, Journal of Biomedical Informatics 50 (2014) 133–141.

Hypersurfaces and their singularities in partial correlation testing
S. Lin, C. Uhler, B. Sturmfels, P. Bühlmann, Foundations of Computational Mathematics 14 (2014) 1079–1116.

 Exact formulas for the normalizing constants of Wishart distributions for graphical models
C. Uhler, A. Lenkoski, D. Richards, ArXiv (2014).

Differentially-private logistic regression for detecting multiple-SNP association in GWAS databases
F. Yu, M. Rybar, C. Uhler, S. Fienberg, in:, J. Domingo Ferrer (Ed.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 170–184.

Packing ellipsoids with overlap
C. Uhler, S. Wright, SIAM Review 55 (2013) 671–706.

Privacy-preserving data sharing for genome-wide association studies
C. Uhler, A. Slavkovic, S. Fienberg, Journal of Privacy and Confidentiality  5 (2013) 137–166.

Geometry of the faithfulness assumption in causal inference
C. Uhler, G. Raskutti, P. Bühlmann, B. Yu, The Annals of Statistics 41 (2013) 436–463.

Geometry of maximum likelihood estimation in Gaussian graphical models
C. Uhler, Annals of Statistics 40 (2012) 238–261.