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
- An encoder-decoder framework for learning from incomplete data☆46Jul 6, 2023Updated 3 years ago
- AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression☆47Apr 5, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 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"☆13Nov 1, 2020Updated 5 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆41Sep 11, 2022Updated 3 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
- Time series data structure learning with NOTEARS and DYNOTEARS☆15May 23, 2024Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆71Apr 25, 2020Updated 6 years ago
- Code for Dataset and Benchmarks Submission, Neurips 2022☆13Aug 16, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆90Oct 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"☆193Aug 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
- ☆32Jul 8, 2018Updated 8 years ago
- ☆31Apr 24, 2024Updated 2 years ago
- causaleffect: R package for identifying causal effects.☆37Sep 19, 2025Updated 10 months 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.
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆17Jan 13, 2021Updated 5 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
- python metric functions, such as MAP, NDCG, AUC...☆10Jul 25, 2014Updated 12 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆297Jul 6, 2023Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 6 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Sep 2, 2020Updated 5 years ago
- Code to implement the network histogram (Olhede and Wolfe, arXiv:1312.5306)☆11Sep 23, 2014Updated 11 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.
- ☆13Mar 8, 2024Updated 2 years ago
- Code repository for the WWW 2019 paper "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness"☆12Feb 1, 2019Updated 7 years ago
- Code for paper: Localized matrix factorization for recommendation based on matrix block diagonal forms☆10Jan 27, 2015Updated 11 years ago
- Code for "MIM: Mutual Information Machine" paper.☆15Nov 22, 2022Updated 3 years ago
- ☆10Jun 29, 2021Updated 5 years ago
- Granger causality discovery for neural networks.☆245Mar 9, 2021Updated 5 years ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Apr 29, 2019Updated 7 years ago