fabianp / group_lasso
☆39Updated 12 years ago
Alternatives and similar repositories for group_lasso:
Users that are interested in group_lasso are comparing it to the libraries listed below
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- ☆40Updated 5 years ago
- ☆39Updated 5 years ago
- 2nd place submission to the AutoML competition - phase 1☆22Updated 10 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- ☆74Updated 6 years ago
- gpbo☆25Updated 4 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 10 months ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent☆21Updated 10 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- predicting learning curves in python☆43Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- ☆22Updated 9 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Group elastic net implementation in PyTorch.☆45Updated 4 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago