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Conformal Prediction

Conformal Prediction is a machine learning framework that provides valid measures of confidence for individual predictions. It offers a principled approach to quantify uncertainty in predictions without assuming any specific distribution for the data. This section features papers that explore various aspects of conformal prediction, including theoretical advancements, algorithmic developments, and applications across different domains.

Papers

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Showing 401–450 of 704 papers

TitleStatusHype
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering—0
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction—0
Conformal Group Recommender System—0
On the Utility of Prediction Sets in Human-AI Teams—0
On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
On Uncertainty In Natural Language Processing—0
Conformal Inductive Graph Neural Networks—0
Optimal Transport-based Conformal Prediction—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)—0
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction—0
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare—0
A Conformal Approach to Feature-based Newsvendor under Model Misspecification—0
Partial-Label Learning with Conformal Candidate Cleaning—0
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification—0
Physics Constrained Motion Prediction with Uncertainty Quantification—0
Posterior Conformal Prediction—0
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision—0
Powerful batch conformal prediction for classification—0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors—0
Prediction and outlier detection in classification problems—0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Model-free generalized fiducial inference—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction—0
Probabilistically robust conformal prediction—0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
Quantifying Deep Learning Model Uncertainty in Conformal Prediction—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Raman Spectrum Matching with Contrastive Representation Learning—0
Randomness, exchangeability, and conformal prediction—0
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions—0
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems—0
Real-Time Privacy Preservation for Robot Visual Perception—0
Rectifying Conformity Scores for Better Conditional Coverage—0
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Conformalized Credal Regions for Classification with Ambiguous Ground Truth—0
Regression Conformal Prediction with Nearest Neighbours—0
Relational Conformal Prediction for Correlated Time Series—0
Conformalized Decision Risk Assessment—0
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout—0
Reliable Prediction Intervals with Regression Neural Networks—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
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