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Information Theory

313 directly classified papers

Papers per year

Papers

Speculative Sampling via Exponential Races ACL 2025
Information Locality as an Inductive Bias for Neural Language Models ACL 2025
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints AAAI 2025
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks ACL 2024
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information NAACL 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework NIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
EmotionArcs: Emotion Arcs for 9,000 Literary Texts EACL 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NIPS 2024
Lower Bounds on the Bayesian Risk via Information Measures JMLR 2024
Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024
Accelerating Relative Entropy Coding with Space Partitioning NIPS 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling AAAI 2024
Efficient Multitask Dense Predictor via Binarization CVPR 2024
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NIPS 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024