Publications
Journal publications under review
Alon Kipnis. (2023). The Minimax Risk in Histogram-Based Uniformity Testing under Missing Ball Alternatives
Alon Kipnis. (2023). Separating the human touch from AI-generated text using higher criticism: an information-theoretic approach
Ben Galili, Alon Kipnis, and Zohar Yakhini. (2023). Detecting sparse and weak deviations of non-proportional hazard in survival analysis
David L. Donoho and Alon Kipnis. (2021). The impossibility region for detecting sparse mixtures using the higher criticism
Journal Publications
Alon Kipnis. (2023). Unification of rare/weak detection models using moderate deviations analysis and log-chisquared P-values. Statistica Scinica
Alon Kipnis and John C. Duchi. (2022). Mean estimation from one-bit measurements. IEEE Transactions on Information Theory
David L. Donoho and Alon Kipnis. (2022). Higher Criticism to compare two large frequency tables, with sensitivity to possible rare and weak differences. Annals of Statistics
Alon Kipnis. (2022). Higher criticism for discriminating word-frequency tables and testing authorship. Annals of Applied Statistics
Alon Kipnis and Galen Reeves. (2021). Gaussian approximation of quantization error for estimation from compressed data. IEEE Transactions on Information Theory
Alon Kipnis, Stefano Rini, and Andrea J. Goldsmith. (2021). The rate-distortion risk in estimation from compressed data. IEEE Transactions on Information Theory
Stefano Rini, Alon Kipnis, Ruiyang Song, and Andrea J. Goldsmith. (2019). The compress-and-estimate coding scheme for Gaussian sources. IEEE Transactions on Wireless Communications
Alon Kipnis, Andrea J. Goldsmith and Yonina C. Eldar. (2018). The distortion rate function of sampled Wiener Processes. IEEE Transactions on Information Theory
Alon Kipnis, Andrea J. Goldsmith, and Yonina, C. Eldar. (2018). Fundamental distortion limits of analog to digital compression. IEEE Transactions on Information Theory
Alon Kipnis, Yonina C. Eldar, and Andrea J. Goldsmith. (2018). Analog-to-digital compression: a new paradigm for converting signals to bits. IEEE Signal Processing Magazine
Alon Kipnis, Andrea J. Goldsmith and Yonina, C. Eldar. (2017). Rate-distortion function of cyclostationary Gaussian processes. IEEE Transactions on Information Theory
Alon Kipnis, Andrea J. Goldsmith, Yonina, C. Eldar and Tsachy Weissman. (2016). Distortion rate function of sub-Nyquist sampled Gaussian sources. IEEE Transactions on Information Theory
Daniel Alpay and Alon Kipnis. (2015). Wiener chaos approach to optimal prediction. Numerical Functional Analysis and Optimization
Daniel Alpay and Alon Kipnis. (2013). A generalized white noise space approach to stochastic integration for a class of Gaussian stationary increment processes. Opuscula Mathematica
Book Chapters
Alon Kipnis, Yonina C. Eldar and Andrea J. Goldsmith. (2021). An information-theoretic approach to analog-to-digital compression
Refereed Conference Publications
Alon Kipnis. The minimax risk in testing the histogram of discrete distributions for uniformity under missing ball alternatives. To be presented at 59th Annual Allerton Conference on Communication, Control, and Computing 2023
Alexander Tsvekov and Alon Kipnis. EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression ICML 2023 Workshop on Neural Compression: From Information Theory to Applications
Alon Kipnis. Rare and Weak Detection Models under Moderate Deviations Analysis and Log-Chisquared P-values. IEEE International Symposium on Information Theory 2022
Alon Kipnis and David L. Donoho. Two-sample testing of word-frequency tables under rare/weak Perturbations. IEEE International Symposium on Information Theory 2021
Alon Kipnis. Higher criticism as an unsupervised authorship discriminator. Conference and Labs of the Evaluation Forum 2020
Alon Kipnis and Galen Reeves. Gaussian approximation of quantization error for estimation from compressed data. IEEE International Symposium on Information Theory 2019
Alon Kipnis and Galen Reeves. Single-letter formulas for quantized compressed sensing with Gaussian codebooks. IEEE International Symposium on Information Theory 2019
Alon Kipnis, Galen Reeves, and Yonina C. Eldar. Single-letter formulas for quantized compressed sensing with Gaussian codebooks. IEEE International Symposium on Information Theory 2018
Georgia Murray, Alon Kipnis, and Andrea J. Goldsmith. Lossy compression of decimated Gaussian random walks. 52nd Annual Conference on Information Sciences and Systems 2018
Alon Kipnis and John C. Duchi. Mean estimation from adaptive one-bit measurements. 55th Annual Allerton Conference on Communication, Control, and Computing 2017
Alon Kipnis, Galen Reeves, Yonina C. Eldar and Andrea J. Goldsmith. Compressed sensing under optimal quantization. IEEE International Symposium on Information Theory 2017
Alon Kipnis, Stefano Rini, and Andrea J. Goldsmith. Coding theorems for the compress and estimate source coding problem. IEEE International Symposium on Information Theory 2017
Ruyang Song, Stefano Rini, Alon Kipnis, and Andrea J. Goldsmith. Optimal rate-allocation in multiterminal compress-and-estimate source coding. IEEE Information Theory Workshop 2016
Alon Kipnis, Andrea J. Goldsmith, and Yonina C. Eldar, Information rates of sampled Wiener processes. IEEE International Symposium on Information Theory 2016
Alon Kipnis, Stefano Rini, and Andrea J. Goldsmith. emph{Multiterminal compress-and-estimate source coding}. IEEE International Symposium on Information Theory 2016
Milind Rao, Alon Kipnis, Tara Javidi, Yonina C. Eldar and Andrea J. Goldsmith. System identification from partial samples: non-asymptotic analysis. IEEE 55th Conference on Decision and Control 2016
Alon Kipnis, Andrea J. Goldsmith and Yonina C. Eldar. Optimal trade-off between sampling rate and quantization precision in A/D conversion. 53rd Annual Allerton Conference on Communication, Control, and Computing 2015
Alon Kipnis, Stefano Rini, and Andrea J. Goldsmith. The indirect rate-distortion function of a binary i.i.d source. IEEE Information Theory Workshop 2015
Mainak Chowdhury, Alon Kipnis, and Andrea J. Goldsmith. Reliable uncoded communication in the quantized SIMO MAC. IEEE International Symposium on Information Theory 2015
Alon Kipnis, Andreea J. Goldsmith, and Yonina C. Eldar. Optimal trade-off between sampling rate and quantization precision in Sigma-Delta A/D conversion. International Conference on Sampling Theory and Applications 2015
Alon Kipnis, Andrea J. Goldsmith, and Yonina C. Eldar. Sub-Nyquist sampling achieves optimal rate-distortion. IEEE Information Theory Workshop 2015
Alon Kipnis, Andrea J. Goldsmith, and Yonina C. Eldar. Rate-distortion function under sub-Nyquist nonuniform sampling. 52st Annual Allerton Conference on Communication, Control, and Computing 2014
Alon Kipnis, Andrea J. Goldsmith, and Yonina C. Eldar. Rate-distortion function of Gaussian Cyclostationary processes. IEEE International Symposium on Information Theory 2014
Alon Kipnis, Andrea J. Goldsmith, Tsachy Weissman and Yonina C. Eldar. Rate-distortion function of sub-Nyquist sampled Gaussian processes corrupted by noise. 51st Annual Allerton Conference on Communication, Control, and Computing 2013
Dissertations
Alon Kipnis. (2017). Fundamental performance limits of analog-to-digital compression
Alon Kipnis. (2012). Generalized white noise space anlysis and stochastic integration with respect to a class of Gaussian stationary increment processes