Zhenyu-LIAO / RMT4ELMLinks
A Random Matrix Approach to Extreme Learning Machine
☆14Updated 7 years ago
Alternatives and similar repositories for RMT4ELM
Users that are interested in RMT4ELM are comparing it to the libraries listed below
Sorting:
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- ☆26Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 7 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- ☆13Updated 4 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆12Updated 4 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago