Search Results for author:
Found 7 papers, 1 papers with code
EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression
We propose an unsupervised method to extract keywords and keyphrases from texts based on a pre-trained language model (LM) and Shannon's information maximization.
Separating the Human Touch from AI-Generated Text using Higher Criticism: An Information-Theoretic Approach
We propose a method to determine whether a given article was entirely written by a generative language model versus an alternative situation in which the article includes some significant edits by a different author, possibly a human.
The Minimax Risk in Histogram-Based Uniformity Testing under Missing Ball Alternatives
We study the problem of testing the goodness of fit of a discrete sample from many categories to the uniform distribution over the categories.
Gaussian Approximation of Quantization Error for Estimation from Compressed Data
We show that the Wasserstein distance between a bitrate-$R$ compressed version of $X$ and its observation under an AWGN-channel of signal-to-noise ratio $2^{2R}-1$ is sub-linear in the problem dimension.
Higher Criticism for Discriminating Word-Frequency Tables and Testing Authorship
We apply this measure to authorship attribution challenges, where the goal is to identify the author of a document using other documents whose authorship is known.
Mean Estimation from One-Bit Measurements
We consider the problem of estimating the mean of a symmetric log-concave distribution under the constraint that only a single bit per sample from this distribution is available to the estimator.
Mean Estimation from Adaptive One-bit Measurements
We study the squared error risk in this estimation as a function of the number of samples and one-bit measurements $n$.
Statistics Theory Statistics Theory
