matthewwicker / StatisticalGuarenteesForBNNs
Repository containing code for getting statistical guarantees on properties of BNNs
☆13Updated 6 years ago
Alternatives and similar repositories for StatisticalGuarenteesForBNNs:
Users that are interested in StatisticalGuarenteesForBNNs are comparing it to the libraries listed below
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Deep reinforcement learning for adaptation in evolutionary algorithms☆9Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆16Updated 5 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ☆26Updated 5 years ago
- ☆12Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- ☆13Updated 6 years ago
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- ☆32Updated 6 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Investigate the speed of adaptation of structural causal models☆16Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- ☆12Updated 6 years ago
- Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"☆12Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆20Updated 4 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago