csinva / mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
☆18Updated last year
Alternatives and similar repositories for mdl-complexity:
Users that are interested in mdl-complexity are comparing it to the libraries listed below
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆12Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- ☆65Updated 6 months ago
- ☆35Updated last year
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆16Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 2 years ago
- ☆12Updated 3 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆54Updated last year
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated 10 months ago
- ☆20Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Post-processing for fair classification☆13Updated last week
- ☆38Updated 3 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆36Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- ☆24Updated 3 years ago
- Ancestral Gumbel-Top-k Sampling☆22Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆10Updated 2 years ago
- Investigate the speed of adaptation of structural causal models☆16Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago