csinva / mdl-complexityLinks
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
Sorting:
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆12Updated 5 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- ☆35Updated last year
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- ☆50Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- ☆20Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆12Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Random feature latent variable models in Python☆22Updated last year
- ☆55Updated 4 years ago
- ☆18Updated 2 years ago
- ☆21Updated 3 years ago