MLSurvival / MTLSA
A Multi-Task Learning Formulation for Survival Analysis
☆19Updated 8 years ago
Alternatives and similar repositories for MTLSA:
Users that are interested in MTLSA are comparing it to the libraries listed below
- Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…☆141Updated 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- ☆58Updated 2 years ago
- ☆18Updated 7 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated last year
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆22Updated 2 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- ☆37Updated 6 years ago
- Causal Inference☆10Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆25Updated 3 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆126Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- ☆43Updated 6 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 6 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 11 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- ☆25Updated 6 years ago
- ☆55Updated 10 months ago
- ☆21Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.☆22Updated last year
- Feature Interaction Interpretability via Interaction Detection☆34Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 4 years ago
- ☆42Updated 5 years ago
- pytorch-retain☆14Updated 7 years ago
- ☆32Updated 6 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆12Updated 3 years ago