artemyk / ibcurveLinks
☆10Updated 6 years ago
Alternatives and similar repositories for ibcurve
Users that are interested in ibcurve are comparing it to the libraries listed below
Sorting:
- Nonlinear Information Bottleneck☆54Updated 3 years ago
- ☆153Updated 5 years ago
- Deep Neural Networks Entropy from Replicas☆33Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- ☆83Updated 5 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 5 years ago
- ☆91Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- ☆45Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 7 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Convolutional Neural Tangent Kernel☆112Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆59Updated 2 years ago
- NTK reading group☆87Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago