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Papers
A Survey of Structural Entropy: Theory, Methods, and Applications
IJCAI 2025
Dataset Distillation as Data Compression: A Rate-Utility Perspective
ICCV 2025
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
EMNLP 2025
On the Correspondence between the Squared Norm and Information Content in Text Embeddings
EMNLP 2025
Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments
IJCAI 2025
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
ICLR 2024
Entropy testing and its application to testing Bayesian networks
NeurIPS 2024
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
ICML 2024
Large-Scale Bitext Corpora Provide New Evidence for Cognitive Representations of Spatial Terms
EACL 2024
Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy
EACL 2024
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
ICML 2024
Tokenization and the Noiseless Channel
ACL 2023
Estimating the Entropy of Linguistic Distributions
ACL 2022
On the Interplay between Information Loss and Operation Loss in Representations for Classification
AISTATS 2022
Private and Communication-Efficient Algorithms for Entropy Estimation
NeurIPS 2022
Bessel Smoothing and Multi-Distribution Property Estimation
COLT 2020
Data Amplification: Instance-Optimal Property Estimation
ICML 2020
K-Nearest Neighbors Hashing
CVPR 2019
An Analytical and Experimental Comparison of Maximal Lottery Schemes
IJCAI 2018
Constant Regret, Generalized Mixability, and Mirror Descent
NeurIPS 2018
Entropy Rate Estimation for Markov Chains with Large State Space
NeurIPS 2018
Existence and Uniqueness of Proper Scoring Rules
JMLR 2015
Bayesian Entropy Estimation for Countable Discrete Distributions
JMLR 2014
A simple sketching algorithm for entropy estimation over streaming data
AISTATS 2013
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
ICML 2013