mingzhang-yin / CoCoView external linksLinks
An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages the invariance of causality over multiple environments.
☆14Jul 10, 2024Updated last year
Alternatives and similar repositories for CoCo
Users that are interested in CoCo are comparing it to the libraries listed below
Sorting:
- ☆45Feb 16, 2022Updated 4 years ago
- ☆12Oct 28, 2022Updated 3 years ago
- Multiresolution Tensor Learning☆11Aug 18, 2020Updated 5 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Jul 8, 2022Updated 3 years ago
- ☆11Jun 12, 2021Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Oct 19, 2023Updated 2 years ago
- ☆14Jul 6, 2021Updated 4 years ago
- ☆16Feb 2, 2022Updated 4 years ago
- Numerical Experiments☆15Jan 21, 2018Updated 8 years ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Jul 22, 2024Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- Student materials for Stats/Datasci 507, Fall 2021.☆10Dec 10, 2021Updated 4 years ago
- ☆18Sep 27, 2023Updated 2 years ago
- Implementation of methods to sample from Boltzmann distributions☆20Jan 24, 2023Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Oct 25, 2021Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Jun 1, 2021Updated 4 years ago
- ☆19May 11, 2023Updated 2 years ago
- ☆87Apr 3, 2020Updated 5 years ago
- ☆25Oct 12, 2021Updated 4 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆24Sep 5, 2024Updated last year
- Find text features that are most related to an outcome, controlling for confounds.☆60Jul 25, 2024Updated last year
- Design of Simulations using WGAN☆56Nov 21, 2022Updated 3 years ago
- ☆22Nov 11, 2023Updated 2 years ago
- ☆24Dec 4, 2020Updated 5 years ago
- Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)☆10Jul 24, 2021Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- ☆33Jul 8, 2018Updated 7 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 2 years ago
- ☆30Apr 24, 2024Updated last year
- Code for the paper "SMACE: A New Method for the Interpretability of Composite Decision Systems", ECML 2022☆15Apr 17, 2023Updated 2 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Apr 15, 2024Updated last year
- Custom Keras layers for implementing multi-dimensional recurrent neural networks (MDRNNs) described in Alex Graves's paper https://arxiv.…☆10Apr 27, 2020Updated 5 years ago
- Enhanced Explainable Neural Network☆10Dec 25, 2021Updated 4 years ago
- JSSP dataset for LLMs☆17May 29, 2025Updated 8 months ago
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆11Aug 12, 2021Updated 4 years ago
- ☆11Jan 13, 2026Updated last month
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- Code for surrogate-assisted hierarchical particle swarm optimization☆11Nov 17, 2018Updated 7 years ago
- ☆10Apr 15, 2022Updated 3 years ago