OSCAR HERNAN MADRID PADILLA
12 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (13)
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Conference Polyglot
(4)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(13)
💎
Century Club
(12)
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Unstoppable
(5)
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Keyword Collector
(54)
Conferences
JMLR (7)
AISTATS (2)
NIPS (2)
ICML (1)
Top co-authors
Research topics
Keywords
fused lasso
(3)
graph signal
(2)
change point detection
(2)
quantile regression
(2)
mean squared error
(2)
constrained optimization
(1)
sparse estimation
(1)
model selection
(1)
nearest neighbor
(1)
structure learning
(1)
nonparametric estimation
(1)
exponential family
(1)
piecewise constant signals
(1)
non-parametric regression
(1)
variance estimation
(1)
structural learning
(1)
exponential families
(1)
non-parametric statistics
(1)
alternating direction method
(1)
outlier robustness
(1)
Papers
Quantile Additive Trend Filtering
AISTATS 2025
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
AISTATS 2025
Variance estimation in graphs with the fused lasso
JMLR 2024
Learning Gaussian DAGs from Network Data
JMLR 2024
Change point detection and inference in multivariate non-parametric models under mixing conditions
NIPS 2023
Extensions to the Proximal Distance Method of Constrained Optimization
JMLR 2022
Quantile regression with ReLU Networks: Estimators and minimax rates
JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
Non-parametric Quantile Regression via the K-NN Fused Lasso
JMLR 2021
Lattice partition recovery with dyadic CART
NIPS 2021
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
Vector-Space Markov Random Fields via Exponential Families
ICML 2015