twistedcubic / que-outlier-detection
[NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.
☆26Updated 5 years ago
Alternatives and similar repositories for que-outlier-detection:
Users that are interested in que-outlier-detection are comparing it to the libraries listed below
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 5 years ago
- Statistical adaptive stochastic optimization methods☆33Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 3 years ago
- ☆13Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- ☆13Updated 5 years ago
- The Limited Multi-Label Projection Layer☆58Updated 5 months ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆43Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆36Updated 2 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 4 months ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago