JFChi / Dirichlet-Hawkes-Process
☆13Updated 7 years ago
Alternatives and similar repositories for Dirichlet-Hawkes-Process
Users that are interested in Dirichlet-Hawkes-Process are comparing it to the libraries listed below
Sorting:
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆24Updated 2 years ago
- ☆22Updated 2 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago
- CEVAE with VampPrior☆11Updated 6 years ago
- A short course on temporal point process and modeling irregular time series☆21Updated 4 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- Direct Gibbs sampling for DPMM using python.☆16Updated 7 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆58Updated 4 months ago
- ☆30Updated 3 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- ☆30Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆13Updated 5 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- HSML for ICML 2019☆51Updated 5 years ago
- Time-Dependent Hawkes Process for Predicting Retweet Dynamics (Kobayashi & Lambiotte, ICWSM 2016)☆16Updated 4 years ago
- ☆9Updated 4 years ago
- ☆44Updated 3 years ago
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Updated 5 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Reimplementation of NOTEARS in Tensorflow☆34Updated 2 years ago
- Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)☆19Updated 7 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago