Daniel Palomar
7 papers · 2019–2023 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Interdisciplinary Bridge π Cross-Pollinator (7)
πΊοΈ
Taxonomy Completionist
(15)
π₯
Unstoppable
(5)
Conferences
NIPS (6)
AISTATS (1)
Top co-authors
Keywords
gaussian graphical model
(3)
precision matrix estimation
(3)
graph learning
(2)
graph laplacian
(2)
precision matrix
(1)
sparse inverse covariance
(1)
maximum likelihood estimation
(1)
adaptive regularization
(1)
graphical lasso
(1)
projected gradient descent
(1)
gaussian markov random field
(1)
graph structure learning
(1)
markov random field
(1)
bipartite graph
(1)
graphical model
(1)
minimax lower bound
(1)
alternating direction method of multiplier
(1)
spectral method
(1)
heavy-tailed distribution
(1)
laplacian constraint
(1)
Papers
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
NIPS 2023
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
NIPS 2023
Learning Bipartite Graphs: Heavy Tails and Multiple Components
NIPS 2022
Graphical Models in Heavy-Tailed Markets
NIPS 2021
Minimax Estimation of Laplacian Constrained Precision Matrices
AISTATS 2021
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
NIPS 2020
Structured Graph Learning Via Laplacian Spectral Constraints
NIPS 2019