My research interests are broadly in statistical learning, information theory, and communications. Here are some representative papers and slides.


Statistical learning

  • M. Mondelli and R. Venkataramanan, "PCA Initialization for Approximate Message Passing in Rotationally Invariant Models" NeurIPS 2021. [PDF]
  • O. Feng, R. Venkataramanan, C. Rush, R. Samworth, "A unifying tutorial on Approximate Message Passing" (2021). [PDF]
  • M. Mondelli and R. Venkataramanan, "Approximate Message Passing with Spectral Initialization for Generalized Linear Models", AISTATS 2021. [PDF]
  • M. Mondelli, C. Thrampoulidis, R. Venkataramanan, "Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models", Foundations of Computational Mathematics (2021+). [PDF]
  • A. Montanari and R. Venkataramanan, "Estimation of Low-Rank Matrices via Approximate Message Passing", Annals of Statistics, vol. 49, no. 1, pp. 321-345, February 2021. [PDF] [Slides from CCIMI seminar, 2018]
  • C. Rush and R. Venkataramanan, "Finite Sample Analysis of Approximate Message Passing Algorithms", IEEE Transactions on Information Theory, vol. 64, no. 11, pp. 7264-7286, November 2018. [PDF]
  • R. Venkataramanan and O. Johnson, "A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation", Electronic Journal of Statistics, Vol. 12, No. 1, pp. 1126-1149, 2018. [PDF] [Slides from talk at Beyond IID '18]


Sparse Regression Codes

  • R. Venkataramanan, S. Tatikonda and A. Barron, "Sparse Regression Codes", Foundations and Trends in Communications and Information Theory, vol. 15, no. 1-2, pp. 1-195, 2019. [PDF]
  • K. Hsieh, C. Rush, and R. Venkataramanan, "Near-optimal coding for many-user multiple access channels" [PDF]
  • C. Rush, K. Hsieh, and R. Venkataramanan, "Capacity-achieving spatially coupled sparse superposition codes with AMP decoding", IEEE Transactions on Information Theory, vol. 67, no. 7, pp. 4446 - 4484, July 2021. [PDF]
  • K. Hsieh, and R. Venkataramanan, "Modulated sparse superposition codes for the complex AWGN channel", IEEE Transactions on Information Theory, vol. 67, no. 7, pp. 4385 - 4404, July 2021. [PDF] [Slides from Kuan's ISIT'20 talk]