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
- ☆18Updated 7 years ago
- Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…☆140Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 10 months ago
- ☆58Updated 2 years ago
- ☆37Updated 6 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆22Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆86Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- 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
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆125Updated last year
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Detecting Statistical Interactions from Neural Network Weights☆47Updated 4 years ago
- ☆40Updated 5 years ago
- Binary Classifier Calibration Models☆15Updated 7 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆24Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 2 years ago
- Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)☆14Updated 4 months ago
- ☆90Updated last year
- ☆42Updated 5 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 6 years ago
- pytorch-retain☆14Updated 7 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆94Updated 3 years ago
- A list of papers/resources in Survival Analysis that I have read or would like to read.☆48Updated 3 months ago
- Causal Inference☆10Updated 4 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 6 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