jiaqima / SODENLinks
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
☆14Updated 2 years ago
Alternatives and similar repositories for SODEN
Users that are interested in SODEN are comparing it to the libraries listed below
Sorting:
- ☆32Updated 7 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 3 years ago
- ☆13Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- Causal data augmentation for pretraining debiasing☆11Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆15Updated 2 years ago
- ☆40Updated 7 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 4 years ago
- ☆17Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆14Updated 5 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆21Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Updated 6 years ago
- ☆20Updated 5 years ago
- ☆14Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Updated 3 years ago
- A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.☆30Updated 7 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago