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
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- ☆13Updated 5 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- ☆30Updated 7 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- ☆33Updated 7 years ago
- ☆11Updated 9 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Updated 7 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- ☆35Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- ☆21Updated 4 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 6 years ago
- Context Selection for Embedding Models☆27Updated 8 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 5 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 2 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 8 years ago
- Ancestral Gumbel-Top-k Sampling☆25Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Updated 3 years ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.☆51Updated 4 years ago
- ☆43Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago