conformal prediction

Revisiting Consistency Regularization for Deep Partial Label Learning ICML 2022 Stable Conformal Prediction Sets ICML 2022 Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NeurIPS 2022 Conformal Bayesian Computation NeurIPS 2021 Conformal prediction interval for dynamic time-series ICML 2021 Conformal Prediction using Conditional Histograms NeurIPS 2021 Conformal Time-series Forecasting NeurIPS 2021 Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021 Distribution-free inference for regression: discrete, continuous, and in between NeurIPS 2021 Distribution-free uncertainty quantification for classification under label shift UAI 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Exact Optimization of Conformal Predictors via Incremental and Decremental Learning ICML 2021 Few-Shot Conformal Prediction with Auxiliary Tasks ICML 2021 Identifying regions of trusted predictions UAI 2021 Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction JMLR 2021 Locally Valid and Discriminative Prediction Intervals for Deep Learning Models NeurIPS 2021 Uncertainty Sets for Image Classifiers using Conformal Prediction ICLR 2021 Flexible distribution-free conditional predictive bands using density estimators AISTATS 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Worst-Case Analysis for Randomly Collected Data NeurIPS 2020 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Conformalized Quantile Regression NeurIPS 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Differentiable Convex Optimization Layers NeurIPS 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019