[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
β98Sep 11, 2022Updated 3 years ago
Alternatives and similar repositories for varying-coefficient-net-with-functional-tr
Users that are interested in varying-coefficient-net-with-functional-tr are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ππ Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatmβ¦β95Mar 24, 2023Updated 3 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bicaβ¦β30Jan 8, 2021Updated 5 years ago
- β25Oct 20, 2025Updated 10 months ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"β92Jul 31, 2024Updated 2 years ago
- Code for Colangelo and Lee (2025)β17Feb 3, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- β30Aug 4, 2022Updated 4 years ago
- β33Aug 10, 2025Updated last year
- β298Apr 3, 2022Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)β42Apr 26, 2022Updated 4 years ago
- ββ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.β132Mar 24, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper: "Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation" by I. Bica, M. van der β¦β11Oct 28, 2022Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018β72Apr 25, 2020Updated 6 years ago
- β59Mar 24, 2022Updated 4 years ago
- Counterfactual Regressionβ319Dec 7, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Monotonic Dense Layer implemented in Kerasβ10Apr 14, 2025Updated last year
- β40Sep 13, 2025Updated 11 months ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"β41Feb 11, 2022Updated 4 years ago
- β11Dec 13, 2021Updated 4 years ago
- A General Causal Inference Framework by Encoding Generative Modelingβ75Jun 1, 2024Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causβ¦β88Mar 29, 2021Updated 5 years ago
- The real-world Production Dataset from E-commerce platform Meituanβ37May 20, 2024Updated 2 years ago
- Keras implementation of the constrained monotonic neural networksβ52Jul 13, 2026Updated last month
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causaβ¦β19May 22, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.β284Jan 5, 2026Updated 8 months ago
- Counterfactual Regressionβ25Jul 12, 2016Updated 10 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.β27Dec 6, 2022Updated 3 years ago
- Non-parametrics for Causal Inferenceβ52Mar 17, 2022Updated 4 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selectionβ23Jan 21, 2021Updated 5 years ago
- Project on Causal Machine learning CS 7290β16Dec 7, 2019Updated 6 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.β158Jun 22, 2024Updated 2 years ago
- β46Jul 16, 2025Updated last year
- Causal Effect Inference with Deep Latent-Variable Modelsβ368Jul 17, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An index of algorithms for learning causality with dataβ3,282Jan 22, 2025Updated last year
- Data for and description of the ACIC 2023 data competitionβ34Jun 9, 2023Updated 3 years ago
- A comprehensive time-series dataset surveyβ21Aug 1, 2022Updated 4 years ago
- Must-read papers and resources related to causal inference and machine (deep) learningβ752Nov 23, 2022Updated 3 years ago
- β119Jul 28, 2025Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensigβ¦β22Oct 29, 2021Updated 4 years ago
- Machine Learning and Artificial Intelligence for Medicine.β473Feb 27, 2023Updated 3 years ago