Teng et al. |
Predictive Inference with Feature Conformal Prediction |
ICLR |
[Code] |
Jung et al. |
Batch Multivalid Conformal Prediction |
ICLR |
[Code] |
Plassier et al. |
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift |
ICML |
|
Bhatnagar et al. |
Improved online conformal prediction via strongly adaptive online learning |
ICML |
[Code] |
Xu et al. |
Sequential predictive conformal inference for time series |
ICML |
[Code] |
Liang et al. |
Conformal inference is (almost) free for neural networks trained with early stopping |
ICML |
[Code] |
Zaffran et al. |
Conformal prediction with missing values |
ICML |
[Code] |
Prinster et al. |
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift |
ICML |
[Code] |
Salinas et al. |
Optimizing hyperparameters with conformal quantile regression |
ICML |
[Code] |
Teneggi et al. |
How to trust your diffusion model: a convex optimization approach to conformal risk control |
ICML |
[Code] |
Zargarbashi et al. |
Conformal prediction sets for graph neural networks |
ICML |
[Code] |
Straitouri et al. |
Improving expert predictions with conformal prediction |
ICML |
[Code] |
Nettasinghe et al. |
Extending conformal prediction to hidden Markov models with exact validity via de Finetti's theorem for Markov chains |
ICML |
|
Lin et al. |
Fast online value-maximizing prediction sets with conformal cost control |
ICML |
[Code] |
Humbert et al. |
One-shot federated conformal prediction |
ICML |
[Code] |
Guha et al. |
Conformalization of sparse generalized linear models |
ICML |
[Code] |
Lu et al. |
Federated conformal predictors for distributed uncertainty quantification |
ICML |
[Code] |
Auer et al. |
Conformal Prediction for Time Series with Modern Hopfield Networks |
NeurIPS |
[Code] |
Dey et al. |
Conformal Prediction Sets for Ordinal Classification |
NeurIPS |
|
Laghuvarapu et al. |
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift |
NeurIPS |
[Code] |
Angelopoulos et al. |
Conformal PID Control for Time Series Prediction |
NeurIPS |
[Code] |
Ding et al. |
Class-Conditional Conformal Prediction with Many Classes |
NeurIPS |
[Code] |
Alaa et al. |
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects |
NeurIPS |
[Code] |
Sun et al. |
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model |
NeurIPS |
|
Huang et al. |
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks |
NeurIPS |
[Code] |
Sharma et al. |
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction |
NeurIPS |
[Code] |
Bashari et al. |
Derandomized novelty detection with FDR control via conformal e-values |
NeurIPS |
[Code] |
Martinez et al. |
Approximating Full Conformal Prediction at Scale via Influence Functions |
AAAI |
[Code] |
Ghosh et al. |
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis |
AAAI |
[Code] |
Chen et al. |
IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems |
KDD |
|
Kong et al. |
Uncertainty Quantification in Deep Learning |
KDD |
|
Park et al. |
{ACon^ 2}: Adaptive Conformal Consensus for Provable Blockchain Oracles |
USENIX Security |
[Code] |
Tian et al. |
Sparsity brings vulnerabilities: exploring new metrics in backdoor attacks |
USENIX Security |
[Code] |