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@dtak Data to Actionable Knowledge (DtAK) Lab

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    47 repositories

    • dtak.github.io

      Public
      JavaScript
      •
      MIT License
      •0•0•0•0•Updated Apr 8, 2026Apr 8, 2026

    • negotiation_benchmark_public

      Public
      Repo containing the code associated with "A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data" paper
      Python
      •
      MIT License
      •0•0•0•0•Updated Mar 14, 2026Mar 14, 2026

    • POE

      Public
      Python
      •0•0•0•0•Updated Jul 18, 2025Jul 18, 2025

    • cpd

      Public
      change point detection
      Python
      •0•0•0•0•Updated Mar 19, 2025Mar 19, 2025

    • robust_decision_focused_rl_public

      Public
      MIT License
      •0•0•0•0•Updated Aug 4, 2024Aug 4, 2024

    • rethinking_discount_reg_public

      Public
      Simulations for the paper: "Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement …
      Jupyter Notebook
      •1•2•0•0•Updated Jun 18, 2024Jun 18, 2024

    • decision-points

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Mar 16, 2024Mar 16, 2024

    • signature-activation

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Jul 26, 2023Jul 26, 2023

    • kernel_mismatch_workshop

      Public
      Code for Implications of Gaussian process kernel mismatch for out-of-distribution data (ICML 2023 workshops)
      MIT License
      •0•0•0•0•Updated Jun 30, 2023Jun 30, 2023

    • anchor-box

      Public
      This repository contains the code for out work, Guarantee Regions for Local Explanations
      Python
      •
      MIT License
      •0•0•0•0•Updated Jan 31, 2023Jan 31, 2023

    • adversarial-robustness-public

      Public
      Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
      interpretabilityrobustness
      interpretabilityrobustness
      Jupyter Notebook
      •
      MIT License
      •13•55•3•1•Updated Dec 4, 2022Dec 4, 2022

    • addressing-leakage

      Public
      Code for the paper 'Addressing leakage in Concept Bottleneck Models'
      Python
      •
      MIT License
      •2•9•1•0•Updated Oct 11, 2022Oct 11, 2022

    • optimal-summaries-public

      Public
      Code repository for the MLHC 2022 paper "Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models"
      Jupyter Notebook
      •1•3•0•0•Updated Jul 27, 2022Jul 27, 2022

    • Decision-Region-for-ICU-Hypotension

      Public
      Jupyter Notebook
      •3•6•0•0•Updated Jul 14, 2022Jul 14, 2022

    • ocbnn-public

      Public
      General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
      paperbnnsbayesian-neural-networks
      paperbnnsbayesian-neural-networksbayesian-deep-learningoc-bnn
      Python
      •
      MIT License
      •5•39•0•2•Updated Jun 21, 2022Jun 21, 2022

    • kernel-evolutions-public

      Public
      Python
      •0•1•0•0•Updated May 23, 2022May 23, 2022

    • wide-bnns-public

      Public
      Python
      •
      MIT License
      •0•3•0•0•Updated Feb 23, 2022Feb 23, 2022

    • power-constrained-bandits-public

      Public
      Python
      •0•3•0•0•Updated Jul 28, 2021Jul 28, 2021

    • hierarchical-disentanglement

      Public
      Code for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
      hierarchyrepresentation-learningdisentanglement
      hierarchyrepresentation-learningdisentanglement
      Python
      •0•5•1•0•Updated Jun 12, 2021Jun 12, 2021

    • osiris

      Public
      Omitting-States-Irrelevant-to-Return Importance Sampling estimator for off-policy evaluation
      reinforcement-learningimportance-samplingoff-policy-evaluation
      reinforcement-learningimportance-samplingoff-policy-evaluation
      Python
      •0•1•0•0•Updated Jun 11, 2021Jun 11, 2021

    • POPCORN-POMDP

      Public
      Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)
      Python
      •
      MIT License
      •2•11•2•0•Updated May 19, 2021May 19, 2021

    • interactive-reconstruction

      Public
      Code for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
      representation-learninginterpretability
      representation-learninginterpretability
      HTML
      •
      MIT License
      •0•9•0•0•Updated Feb 3, 2021Feb 3, 2021

    • rrr

      Public
      Code/figures in Right for the Right Reasons
      interpretability
      interpretability
      Jupyter Notebook
      •
      MIT License
      •12•57•3•0•Updated Dec 29, 2020Dec 29, 2020

    • tensorpack

      Public
      A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
      Python
      •
      Apache License 2.0
      •1.8k•0•0•0•Updated Dec 28, 2020Dec 28, 2020

    • mbrl-smdp-ode

      Public
      PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
      Python
      •6•45•2•0•Updated Oct 25, 2020Oct 25, 2020

    • porbnet

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Aug 5, 2020Aug 5, 2020

    • interpretable_ope_public

      Public
      Python
      •0•6•0•0•Updated Jun 28, 2020Jun 28, 2020

    • prediction-constrained-topic-models

      Public
      Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words d…
      Python
      •
      MIT License
      •5•11•0•1•Updated Apr 15, 2020Apr 15, 2020

    • umls_tagger

      Public
      Python
      •0•0•0•0•Updated Dec 5, 2019Dec 5, 2019

    • pgmult

      Public
      Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
      Python
      •
      MIT License
      •23•0•0•2•Updated Dec 5, 2019Dec 5, 2019
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