Oscar Hernán Madrid Padilla
- Quantile regression with deep ReLU Networks: Estimators and minimax rates
2020/10/16 by Oscar Hernán Madrid Padilla, Wesley Tansey, Padilla, Oscar Hernan Madrid +3 · 5 citations
Mathematics · Engineering · Computer Science · #Statistical Methods and Inference #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
- Change point localization in dependent dynamic nonparametric random dot\n product graphs
2019/11/18 by Oscar Hernán Madrid Padilla, Yi Yu, Padilla, Oscar Hernan Madrid +3 · 2 citations
Mathematics · #Advanced Causal Inference Techniques
- Adaptive Non-Parametric Regression With the K-NN Fused Lasso
2018/07/31 by Oscar Hernán Madrid Padilla, James Sharpnack, Padilla, Oscar Hernan Madrid +5 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Methodology (stat.ME) #Risk and Portfolio Optimization #Statistical Methods and Inference
- Bayesian variance change point detection with credible sets
2022/11/25 by Lorenzo Cappello, Oscar Hernán Madrid Padilla, Cappello, Lorenzo +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Metabolomics and Mass Spectrometry Studies
- Kernel Biclustering algorithm in Hilbert Spaces
2022/08/07 by Marcos Matabuena, Matabuena, Marcos, J. C Vidal +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Graphon estimation via nearest neighbor algorithm and 2D fused lasso\n denoising
2018/05/18 by Oscar Hernán Madrid Padilla, Padilla, Oscar Hernan Madrid · 1 citation
Mathematics · Physics and Astronomy · Computer Science · #Statistical Methods and Inference #Complex Network Analysis Techniques #Bayesian Modeling and Causal Inference
- Conditional Mean and Variance Estimation via k-NN Algorithm with Automated Variance Selection
2024/02/02 by Marcos Matabuena, Matabuena, Marcos, Juan C. Vidal +5 · 1 citation
Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Bayesian Transfer Learning for Enhanced Estimation and Inference
2024/12/04 by Daoyuan Lai, Oscar Hernan Madrid Padilla, Oscar Hernán Madrid Padilla +5 · 1 citation
Computer Science · #Gaussian Processes and Bayesian Inference
- Optimal network online change point localisation
2021/01/14 by Yi Yu, Yu, Yi, Oscar Hernán Madrid Padilla +5 · 2 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Process Monitoring #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks
2024/12/29 by Carlos Misael Madrid Padilla, Oscar Hernán Madrid Padilla, Padilla, Carlos Misael Madrid +7 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)