BorisMuzellec / EllipticalEmbeddingsLinks
Python code for implementing embeddings in the Wasserstein space of elliptical distributions
☆11Updated 5 years ago
Alternatives and similar repositories for EllipticalEmbeddings
Users that are interested in EllipticalEmbeddings are comparing it to the libraries listed below
Sorting:
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Deep Weighted Averaging Classifiers☆23Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- ☆18Updated 7 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- ☆16Updated 5 years ago
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Updated 7 years ago
- Personalized Item Exploration Processes for Recommendation☆15Updated 6 years ago
- Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)☆19Updated 7 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 8 years ago
- Fair Benchmarks☆10Updated 6 years ago
- ☆24Updated 5 years ago
- Bayesian or-of-and☆35Updated 3 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 6 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- ☆13Updated 4 years ago