dobriban/Topics-in-deep-learning

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dobriban/Topics-in-deep-learning

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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

stat-ml-edu

Resources for education in statistics and machine learning: from advanced undergraduate to research level

spatial-data-with-r

Materials for my lecture on Spatial Data Analysis with R

EigenEdge

Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type

DPA

Deterministic Parallel Analysis

high-dim-risk-experiments

Experiments with high-dimensional predictive risk

data_aug

Experiments in data augmentation paper

Talks

Slides from my talks

Dist

Distributed linear regression

PA

Permutation methods for factor analysis and PCA

pweight

P-value Weighting R Package

dist_ridge

Distributed ridge

pvalue_weighting_matlab

Pvalue Weighting Package for Matlab

stat-431-project

Stat 431 final project - Stats for covid-19

Hadamard

Robust Inference Under Heteroskedasticity via the Hadamard Estimator

pca

resources related to pca

ideal-working-group

Working group for IDEAL special semester on the foundations of deep learning

diagonally_reduced

Experiments from the paper "PCA from noisy, linearly reduced data: the diagonal case"