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…☆71Mar 21, 2024Updated 2 years ago
- Medical Concept Embedding with Multiple Ontological Representations (IJCAI-19)☆10Jul 21, 2020Updated 5 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆61Aug 14, 2024Updated last year
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Nov 1, 2020Updated 5 years ago
- AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression☆46Apr 5, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆40Sep 11, 2022Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 3 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 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆71Apr 25, 2020Updated 5 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆15May 23, 2024Updated last year
- Code for Dataset and Benchmarks Submission, Neurips 2022☆13Aug 16, 2022Updated 3 years ago
- using MIMC-III time series data to predict the probability of death.☆10Jul 21, 2019Updated 6 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆11Jun 2, 2021Updated 4 years ago
- ☆90Oct 7, 2021Updated 4 years ago
- ☆14Jul 5, 2023Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆185Aug 13, 2024Updated last year
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Oct 25, 2021Updated 4 years ago
- causaleffect: R package for identifying causal effects.☆37Sep 19, 2025Updated 7 months ago
- ☆32Jul 8, 2018Updated 7 years ago
- ☆30Apr 24, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆134Sep 16, 2022Updated 3 years ago
- algorithms for mass univariate regression☆13Aug 21, 2018Updated 7 years ago
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆17Jan 13, 2021Updated 5 years ago
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 5 years ago
- Causal discovery for time series☆106Feb 23, 2022Updated 4 years ago
- python metric functions, such as MAP, NDCG, AUC...☆10Jul 25, 2014Updated 11 years ago
- KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder☆23Dec 17, 2020Updated 5 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆14Sep 2, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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 6 years ago
- ☆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
- HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (KDD 2020)☆12Jan 25, 2021Updated 5 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Feb 24, 2023Updated 3 years ago
- Code for "MIM: Mutual Information Machine" paper.☆15Nov 22, 2022Updated 3 years ago