dtak Goto Github PK

addressing-leakage

Code for the paper 'Addressing leakage in Concept Bottleneck Models'

adversarial-robustness-public

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

anchor-box

This repository contains the code for out work, Guarantee Regions for Local Explanations

batch-apprenticeship-learning

Truly Batch Apprenticeship Learning with Deep Successor Features.

cs282np-public

repository for CS282R: Bayesian Nonparametrics assignments

cs282rl-public

Domains and other useful code for Harvard CS 282r on Reinforcement Learning

decision-region-for-icu-hypotension

demo_tex_project_with_overleaf

Shows how to make a git repository for LaTeX document sync'd with Overleaf

dipg-public

Demonstration of Diversity Inducing Policy Gradient (DIPG)

dtak.github.io

dynamic-mixing

hierarchical-disentanglement

Code for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

hs-bnn-public

i-airl

interactive-reconstruction

Code for Evaluating the Interpretability of Generative Models by Interactive Reconstruction

interpretable_ope_public

kernel-evolutions-public

kernel_mismatch_workshop

Code for Implications of Gaussian process kernel mismatch for out-of-distribution data (ICML 2023 workshops)

lit

Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"

local-independence-public

Code/figures in Learning Qualitatively Diverse and Interpretable Rules for Classification

mappinggppstobnns

maps a gpp to a bnn

mbrl-smdp-ode

PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020

mimic_icu_datapackage

Public resource for curated ICU dataset used in time-series analysis tasks, such as in AMIA CRI 2017 paper by Ghassemi, Wu, Hughes, et al.

ocbnn-public

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

optimal-summaries-public

Code repository for the MLHC 2022 paper "Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models"

osiris

Omitting-States-Irrelevant-to-Return Importance Sampling estimator for off-policy evaluation

pgmult

Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation

policy-summarization-with-user-models-public

popcorn-pomdp

Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)