felixyu / pSVMLinks
proportion-SVM (pSVM, $\propto$SVM) for learning with label proportions
☆21Updated 11 years ago
Alternatives and similar repositories for pSVM
Users that are interested in pSVM are comparing it to the libraries listed below
Sorting:
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes☆22Updated 7 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- ☆11Updated 7 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 9 years ago
- NPHC☆17Updated 4 years ago
- Beyond Outlier Detection: LookOut for Pictorial Explanation☆26Updated 6 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Density Order Embeddings☆33Updated 6 years ago
- ☆16Updated 4 years ago
- Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"☆17Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆23Updated 7 years ago
- Birkhoff decomposition for doubly stochastic matrices.☆15Updated last year
- mixed membership stochastic block model☆13Updated 9 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago