wooden-spoon / relational-ERMLinks
Software relating to relational empirical risk minimization
☆17Updated 4 years ago
Alternatives and similar repositories for relational-ERM
Users that are interested in relational-ERM are comparing it to the libraries listed below
Sorting:
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- ☆13Updated 4 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- ☆20Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- ☆29Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- ☆16Updated 5 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- ☆35Updated 6 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- ☆11Updated 9 years ago
- Dirichlet Process K-means☆48Updated last year
- Reference implementations of basic and advanced hypergraph algorithms.☆49Updated last year
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- ☆32Updated 7 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆24Updated 2 years ago