lfochamon / cslLinks
csl: PyTorch-based Constrained Learning
☆12Updated 3 years ago
Alternatives and similar repositories for csl
Users that are interested in csl are comparing it to the libraries listed below
Sorting:
- ☆10Updated 3 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- Post-processing for fair classification☆16Updated 6 months ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆15Updated 3 years ago
- ☆12Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆17Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆19Updated 6 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.☆14Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Updated 6 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆18Updated last year
- ☆34Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆63Updated 3 years ago
- ☆73Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- ☆14Updated 2 years ago
- ☆22Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago