TataKKKL / social-DCMLinks
social Discrete Choice Models in Python
☆13Updated last year
Alternatives and similar repositories for social-DCM
Users that are interested in social-DCM are comparing it to the libraries listed below
Sorting:
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Updated last year
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- ☆12Updated 3 years ago
- Experiments with experimental rule-based models to go along with imodels.☆18Updated last month
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit☆20Updated 9 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆44Updated 6 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Structural Causal Bandit☆26Updated 4 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Updated 5 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆35Updated 9 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆33Updated 8 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 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
- Ranking Policy Gradient☆23Updated 6 years ago
- The demo for "Convolutional Poisson Gamma Belief Network" published in ICML2019☆11Updated 3 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Enhanced Explainable Neural Network☆10Updated 4 years ago
- Non-stationary Off-policy Evaluation☆13Updated 7 years ago
- A method for event correlation detection based on Spatial-Temporal-Textual point process☆14Updated 6 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 8 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- ☆18Updated 4 years ago
- Bayesian or-of-and☆36Updated 3 years ago
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- Basic tensorflow implementation of logistic latent Dirichlet allocation☆18Updated 6 years ago
- ☆11Updated 3 years ago