dobriban
Associate Professor of Statistics & Computer and Information Science. Interested in stats and ML. Course notes, software, and code to reproduce papers.
The Wharton School, University of PennsylvaniaPhiladelphia, PA
Pinned Repositories
data_aug
Experiments in data augmentation paper
Dist
Distributed linear regression
DPA
Deterministic Parallel Analysis
EigenEdge
Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type
high-dim-risk-experiments
Experiments with high-dimensional predictive risk
spatial-data-with-r
Materials for my lecture on Spatial Data Analysis with R
stat-ml-edu
Resources for education in statistics and machine learning: from advanced undergraduate to research level
Talks
Slides from my talks
Topics-in-deep-learning
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
dobriban's Repositories
dobriban/Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
dobriban/Topics-in-deep-learning
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
dobriban/stat-ml-edu
Resources for education in statistics and machine learning: from advanced undergraduate to research level
dobriban/spatial-data-with-r
Materials for my lecture on Spatial Data Analysis with R
dobriban/EigenEdge
Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type
dobriban/DPA
Deterministic Parallel Analysis
dobriban/high-dim-risk-experiments
Experiments with high-dimensional predictive risk
dobriban/data_aug
Experiments in data augmentation paper
dobriban/Dist
Distributed linear regression
dobriban/Talks
Slides from my talks
dobriban/dist_ridge
Distributed ridge
dobriban/PA
Permutation methods for factor analysis and PCA
dobriban/pweight
P-value Weighting R Package
dobriban/Hadamard
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
dobriban/pvalue_weighting_matlab
Pvalue Weighting Package for Matlab
dobriban/stat-431-project
Stat 431 final project - Stats for covid-19
dobriban/deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
dobriban/diagonally_reduced
Experiments from the paper "PCA from noisy, linearly reduced data: the diagonal case"
dobriban/ideal-working-group
Working group for IDEAL special semester on the foundations of deep learning
dobriban/pca
resources related to pca
dobriban/adversarial-ml-tutorial-copied
dobriban/bandits
Python library for Multi-Armed Bandits
dobriban/contextualbandits
Python implementations of contextual bandits algorithms
dobriban/CurveFit
Generic curve fitting package with nonlinear mixed effects model
dobriban/dld
Theories of Deep Learning
dobriban/FACT
FACT method for multiple testing
dobriban/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
dobriban/Papers
PDF copies of some of my published papers
dobriban/randomization_test
dobriban/Spectrode-R
Spectrode in R