aangelopoulos / private_prediction_sets
Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
☆17Updated 11 months ago
Alternatives and similar repositories for private_prediction_sets:
Users that are interested in private_prediction_sets are comparing it to the libraries listed below
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 3 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 2 years ago
- ☆35Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆55Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 9 months ago
- ☆10Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Random feature latent variable models in Python☆22Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- ☆14Updated 2 years ago
- ☆12Updated last year
- Investigate the speed of adaptation of structural causal models☆16Updated 4 years ago
- ☆9Updated last year
- ☆32Updated 6 years ago
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆56Updated 3 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- ☆20Updated 4 years ago
- ☆17Updated 2 years ago