An Information Theoretic Perspective on Conformal Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Correia, Alvaro H. C., Massoli, Fabio Valerio, Louizos, Christos, Behboodi, Arash |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction
by: Behboodi, Arash, et al.
Published: (2025)
by: Behboodi, Arash, et al.
Published: (2025)
Variational Learning ISTA
by: Massoli, Fabio Valerio, et al.
Published: (2024)
by: Massoli, Fabio Valerio, et al.
Published: (2024)
Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
by: Khisti, Ashish, et al.
Published: (2024)
by: Khisti, Ashish, et al.
Published: (2024)
Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
by: Massoli, Fabio Valerio, et al.
Published: (2026)
by: Massoli, Fabio Valerio, et al.
Published: (2026)
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data
by: Correia, Alvaro H. C., et al.
Published: (2025)
by: Correia, Alvaro H. C., et al.
Published: (2025)
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
by: Tailor, Dharmesh, et al.
Published: (2025)
by: Tailor, Dharmesh, et al.
Published: (2025)
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
by: Massoli, Fabio Valerio, et al.
Published: (2024)
by: Massoli, Fabio Valerio, et al.
Published: (2024)
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
by: Silvestri, Gianluigi, et al.
Published: (2024)
by: Silvestri, Gianluigi, et al.
Published: (2024)
Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
by: Anwar, Usman, et al.
Published: (2026)
by: Anwar, Usman, et al.
Published: (2026)
Vision-Assisted Digital Twin Creation for mmWave Beam Management
by: Arnold, Maximilian, et al.
Published: (2024)
by: Arnold, Maximilian, et al.
Published: (2024)
A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems
by: Romijnders, Rob, et al.
Published: (2025)
by: Romijnders, Rob, et al.
Published: (2025)
Information Theoretic Perspective on Representation Learning
by: Pereg, Deborah, et al.
Published: (2026)
by: Pereg, Deborah, et al.
Published: (2026)
Generalization and Informativeness of Conformal Prediction
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective
by: Langer, Carlotta, et al.
Published: (2024)
by: Langer, Carlotta, et al.
Published: (2024)
On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
by: Dong, Zhiyi, et al.
Published: (2025)
by: Dong, Zhiyi, et al.
Published: (2025)
Forecastability as an Information-Theoretic Limit on Prediction
by: Catt, Peter Maurice
Published: (2026)
by: Catt, Peter Maurice
Published: (2026)
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
by: Behboodi, Arash, et al.
Published: (2024)
by: Behboodi, Arash, et al.
Published: (2024)
Importance Matching Lemma for Lossy Compression with Side Information
by: Phan, Buu, et al.
Published: (2024)
by: Phan, Buu, et al.
Published: (2024)
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
by: Laakom, Firas, et al.
Published: (2025)
by: Laakom, Firas, et al.
Published: (2025)
On the Generalization for Transfer Learning: An Information-Theoretic Analysis
by: Wu, Xuetong, et al.
Published: (2022)
by: Wu, Xuetong, et al.
Published: (2022)
Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
by: Simeone, Osvaldo, et al.
Published: (2025)
by: Simeone, Osvaldo, et al.
Published: (2025)
A Mutual Information Perspective on Federated Contrastive Learning
by: Louizos, Christos, et al.
Published: (2024)
by: Louizos, Christos, et al.
Published: (2024)
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)
by: Barnes, L. P., et al.
Published: (2022)
Information-Theoretic Discrete Diffusion
by: Jeon, Moongyu, et al.
Published: (2025)
by: Jeon, Moongyu, et al.
Published: (2025)
An Information-Theoretic Analysis of Temporal GNNs
by: Farzaneh, Amirmohammad
Published: (2024)
by: Farzaneh, Amirmohammad
Published: (2024)
An Information-Theoretic Analysis of In-Context Learning
by: Jeon, Hong Jun, et al.
Published: (2024)
by: Jeon, Hong Jun, et al.
Published: (2024)
Information-Theoretic Proofs for Diffusion Sampling
by: Reeves, Galen, et al.
Published: (2025)
by: Reeves, Galen, et al.
Published: (2025)
Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
by: Vendrell, Victor Conchello, et al.
Published: (2026)
by: Vendrell, Victor Conchello, et al.
Published: (2026)
An Information Theoretic Perspective on Agentic System Design
by: He, Shizhe, et al.
Published: (2025)
by: He, Shizhe, et al.
Published: (2025)
On the Generalization of Knowledge Distillation: An Information-Theoretic View
by: Li, Bingying, et al.
Published: (2026)
by: Li, Bingying, et al.
Published: (2026)
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
by: Wu, Xuetong, et al.
Published: (2022)
by: Wu, Xuetong, et al.
Published: (2022)
Directed Information $γ$-covering: An Information-Theoretic Framework for Context Engineering
by: Huang, Hai
Published: (2025)
by: Huang, Hai
Published: (2025)
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
Information-Theoretic Measures on Lattices for High-Order Interactions
by: Liu, Zhaolu, et al.
Published: (2024)
by: Liu, Zhaolu, et al.
Published: (2024)
Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
Information-Theoretic Framework for Understanding Modern Machine-Learning
by: Feder, Meir, et al.
Published: (2025)
by: Feder, Meir, et al.
Published: (2025)
Information Theoretic Learning for Diffusion Models with Warm Start
by: Shen, Yirong, et al.
Published: (2025)
by: Shen, Yirong, et al.
Published: (2025)
Unifying Information-Theoretic and Pair-Counting Clustering Similarity
by: Gates, Alexander J.
Published: (2025)
by: Gates, Alexander J.
Published: (2025)
Information Theoretic Guarantees For Policy Alignment In Large Language Models
by: Mroueh, Youssef
Published: (2024)
by: Mroueh, Youssef
Published: (2024)
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
by: Huang, Dong, et al.
Published: (2024)
by: Huang, Dong, et al.
Published: (2024)
Similar Items
-
Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction
by: Behboodi, Arash, et al.
Published: (2025) -
Variational Learning ISTA
by: Massoli, Fabio Valerio, et al.
Published: (2024) -
Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
by: Khisti, Ashish, et al.
Published: (2024) -
Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
by: Massoli, Fabio Valerio, et al.
Published: (2026) -
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data
by: Correia, Alvaro H. C., et al.
Published: (2025)