Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar
☆52Jan 7, 2021Updated 5 years ago
Alternatives and similar repositories for Time-Series-Deconfounder
Users that are interested in Time-Series-Deconfounder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆75Mar 21, 2024Updated 2 years ago
- ☆40Dec 11, 2018Updated 7 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Oct 20, 2020Updated 5 years ago
- AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression☆47Apr 5, 2021Updated 5 years ago
- Medical Concept Embedding with Multiple Ontological Representations (IJCAI-19)☆10Jul 21, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Aug 14, 2024Updated 2 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆12Nov 1, 2020Updated 5 years ago
- ☆20Aug 26, 2020Updated 6 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆41Sep 11, 2022Updated 3 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆15May 23, 2024Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 4 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆72Apr 25, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for Dataset and Benchmarks Submission, Neurips 2022☆13Aug 16, 2022Updated 4 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆11Jun 2, 2021Updated 5 years ago
- ☆89Oct 7, 2021Updated 4 years ago
- ☆14Jul 5, 2023Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆22Oct 25, 2021Updated 4 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆194Aug 13, 2024Updated 2 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆135Sep 16, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆32Jul 8, 2018Updated 8 years ago
- For this project, I used publicly available Electronic Health Records (EHRs) datasets. The MIT Media Lab for Computational Physiology has…☆20Mar 14, 2024Updated 2 years ago
- ☆31Apr 24, 2024Updated 2 years ago
- causaleffect: R package for identifying causal effects.☆37Sep 19, 2025Updated 11 months ago
- algorithms for mass univariate regression☆13Aug 21, 2018Updated 8 years ago
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 6 years ago
- Causal discovery for time series☆109Feb 23, 2022Updated 4 years ago
- Using GC analysis to explore the effective connectivities☆20Sep 30, 2021Updated 4 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆297Jul 6, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder☆23Dec 17, 2020Updated 5 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Sep 2, 2020Updated 6 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆19Mar 31, 2021Updated 5 years ago
- Python code of information geometric causal inference☆12Aug 20, 2019Updated 7 years ago
- Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)☆11Sep 23, 2014Updated 11 years ago
- Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.☆26Dec 5, 2021Updated 4 years ago