microsoft / statoptLinks
Statistical adaptive stochastic optimization methods
☆32Updated 5 years ago
Alternatives and similar repositories for statopt
Users that are interested in statopt are comparing it to the libraries listed below
Sorting:
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- ☆26Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 9 months ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- ☆27Updated 2 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago
- ☆49Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆61Updated 2 years ago