Carlos Améndola

18 papers A 2B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tropical Fréchet means: a polyhedral approach to exact optimization.
J. Symb. Comput.
Kamillo Ferry, Bo Lin, Carlos Améndola, Anthea Monod, Ruriko Yoshida
2026 J jnl
Tropical combinatorics of max-linear Bayesian networks.
J. Symb. Comput.
Carlos Améndola, Kamillo Ferry
2025 J jnl
A PC Algorithm for Max-Linear Bayesian Networks.
CoRR
Carlos Améndola, Benjamin Hollering, Francesco Nowell
2025 J jnl
Estimating Gaussian Mixtures Using Sparse Polynomial Moment Systems.
SIAM J. Math. Data Sci.
Julia Lindberg, Carlos Améndola, Jose Israel Rodriguez
2025 B conf
Tropical Fréchet Means.
ISSAC
Bo Lin, Kamillo Ferry, Carlos Améndola, Anthea Monod, Ruriko Yoshida
2024 J jnl
A Bridge between Invariant Theory and Maximum Likelihood Estimation.
SIAM Rev.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2024 J jnl
Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2024 J jnl
Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, Anna Seigal
2023 — conf
Convex Hulls of Curves: Volumes and Signatures.
GSI (1)
Carlos Améndola, Darrick Lee, Chiara Meroni
2023 J jnl
Identifiability in Continuous Lyapunov Models.
SIAM J. Matrix Anal. Appl.
Philipp Dettling, Roser Homs, Carlos Améndola, Mathias Drton, Niels Richard Hansen
2022 J jnl
Autocovariance varieties of moving average random fields.
J. Symb. Comput.
Carlos Améndola, Viet Son Pham
2021 J jnl
Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2021 A conf
Markov equivalence of max-linear Bayesian networks.
UAI
Carlos Améndola, Benjamin Hollering, Seth Sullivant, Ngoc Tran
2021 J jnl
Moment Identifiability of Homoscedastic Gaussian Mixtures.
Found. Comput. Math.
Daniele Agostini, Carlos Améndola, Kristian Ranestad
2020 A conf
Structure Learning for Cyclic Linear Causal Models.
UAI
Carlos Améndola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu
2019 J jnl
Discrete Gaussian Distributions via Theta Functions.
SIAM J. Appl. Algebra Geom.
Daniele Agostini, Carlos Améndola
2019 J jnl
The maximum likelihood degree of toric varieties.
J. Symb. Comput.
Carlos Améndola, Nathan Bliss, Isaac Burke, Courtney R. Gibbons, Martin Helmer, Serkan Hosten, Evan D. Nash, Jose Israel Rodriguez, Daniel Smolkin
2015 — conf
Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental.
MACIS
Carlos Améndola, Mathias Drton, Bernd Sturmfels