steffen-ventz

2018-StanCon-Notebook

Notebook submission for StanCon 2018

2022-ISBA-BNPCI

Github repo for the BNP Causal Inference short course

AdaFNN

[ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers

bayesian_tree

bayesianIsotonicSims

Code to accompany Boonstra, Owen, and Kang (2023)

BFDA

Matlab toolbox for Bayesian functional data analysis

causal_inference_julia_code

Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Censored-Data-in-JAGS

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

steffen-ventz/2022-ISBA-BNPCI

Github repo for the BNP Causal Inference short course

steffen-ventz/AdaFNN

[ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers

steffen-ventz/bayesian_tree

steffen-ventz/bayesianIsotonicSims

Code to accompany Boonstra, Owen, and Kang (2023)

steffen-ventz/causal_inference_julia_code

Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

steffen-ventz/Censored-Data-in-JAGS

steffen-ventz/conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

steffen-ventz/conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

steffen-ventz/CounterfactualFairness.jl

steffen-ventz/EfficientCausalMetaAnalysis

steffen-ventz/FundamentalsNumericalComputation.jl

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

steffen-ventz/gpbart

Implementation of GP-BART algorithm.

steffen-ventz/InfoGGM

steffen-ventz/intro_bayesian_causal

Repository for Introduction to Bayesian Estimation of Causal Effects

steffen-ventz/KSD-Bayes

Experiment Code for "Robust Generalised Bayesian Inference for Intractable Likelihoods" (https://arxiv.org/abs/2104.07359)

steffen-ventz/logisticbeta-reproduce

Reproducing codes of: Logistic-beta processes for modeling dependent random probabilities with beta marginals

steffen-ventz/ltt

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

steffen-ventz/NormalizingFlows.jl

steffen-ventz/npl_mmd_project

steffen-ventz/PS_survival

Simulation codes for Principal Stratification Analysis of Noncompliance with Time-to-Event Outcomes

steffen-ventz/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

steffen-ventz/rapidMTM

Rapidly mixing multiple-try Metropolis algorithms for model selection problems

steffen-ventz/SBFA

Integrative Analysis of Multi-omics and Imaging Data with Incorporation of Biological Information via Structural Bayesian Factor Analysis

steffen-ventz/SLIMTutorials

Tutorials for the 2021 ML4Seismic Partners Meeting

steffen-ventz/steffen-ventz.github.io

steffen-ventz/Understanding-Deep-Learning-book

Understanding Deep Learning - Simon J.D. Prince

steffen-ventz/VAE_Julia

Julia implementation of Variational Auto Encoder (VAE) model

steffen-ventz/vistan

A simple library to run variational inference on Stan models.

steffen-ventz/yang-zhang.github.io

steffen-ventz/ZZpaper

append code to Corbella 2022