OSCAR HERNAN MADRID PADILLA
13 papers · 2015–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(11)
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(8)
Mathematics & Optimization
(7)
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(7)
Optimization
(5)
Data Science & Analytics
(4)
Mathematics
(4)
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(3)
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(1)
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Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
fused lasso
(4)
quantile regression
(3)
graph signal
(2)
change point detection
(2)
mean squared error
(2)
sample complexity
(1)
structure learning
(1)
causal inference
(1)
pac-bayes theory
(1)
network analysis
(1)
structural learning
(1)
nearest neighbor
(1)
convex optimization
(1)
nonparametric regression
(1)
exponential family
(1)
constrained optimization
(1)
nonparametric estimation
(1)
piecewise constant signals
(1)
outlier robustness
(1)
nonparametric statistics
(1)
Papers
A causal fused lasso for interpretable heterogeneous treatment effects estimation
JMLR 2026
Quantile Additive Trend Filtering
AISTATS 2025
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
AISTATS 2025
Learning Gaussian DAGs from Network Data
JMLR 2024
Variance estimation in graphs with the fused lasso
JMLR 2024
Change point detection and inference in multivariate non-parametric models under mixing conditions
NeurIPS 2023
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
Extensions to the Proximal Distance Method of Constrained Optimization
JMLR 2022
Quantile regression with ReLU Networks: Estimators and minimax rates
JMLR 2022
Lattice partition recovery with dyadic CART
NeurIPS 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso
JMLR 2021
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
Vector-Space Markov Random Fields via Exponential Families
ICML 2015