Name: Edgar Dobriban
Type: User
Company: The Wharton School, University of Pennsylvania
Bio: Associate Professor of Statistics & Computer and Information Science. Interested in stats and ML. Course notes, software, and code to reproduce papers.
Twitter: EdgarDobriban
Location: Philadelphia, PA
Blog: https://statistics.wharton.upenn.edu/profile/dobriban/
Edgar Dobriban's Projects
Python library for Multi-Armed Bandits
Python implementations of contextual bandits algorithms
Generic curve fitting package with nonlinear mixed effects model
Experiments in data augmentation paper
R notebooks for the code samples of the book "Deep Learning with R"
Experiments from the paper "PCA from noisy, linearly reduced data: the diagonal case"
Distributed linear regression
Distributed ridge
Theories of Deep Learning
Deterministic Parallel Analysis
Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type
FACT method for multiple testing
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
Experiments with high-dimensional predictive risk
Working group for IDEAL special semester on the foundations of deep learning
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Permutation methods for factor analysis and PCA
PDF copies of some of my published papers
resources related to pca
Pvalue Weighting Package for Matlab
P-value Weighting R Package
Materials for my lecture on Spatial Data Analysis with R
Spectrode in R
Stat 431 final project - Stats for covid-19
Resources for education in statistics and machine learning: from advanced undergraduate to research level
Slides from my talks
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc