clinicalml / proxy-anchor-regressionLinks
Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
☆11Updated 3 years ago
Alternatives and similar repositories for proxy-anchor-regression
Users that are interested in proxy-anchor-regression are comparing it to the libraries listed below
Sorting:
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 4 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
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆21Updated 3 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 6 months ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- ☆17Updated last year
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆11Updated last year
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Updated 4 years ago
- ☆17Updated 6 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 3 years ago
- ☆32Updated 7 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago
- ☆14Updated 3 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated last year
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆40Updated 2 months ago
- Active learning for optimal intervention design in causal models☆16Updated 2 years ago
- The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.☆18Updated 4 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆72Updated last year
- Random feature latent variable models in Python☆23Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago