Rishabh Dudeja
About Me
I am an Assistant Professor in the Department of Statistics at University of Wisconsin-Madison.
My research interests lie at the intersection of high-dimensional statistics, information theory, and applied probability. I am particularly interested in understanding phase transitions, universality phenomena, and computational-statistical trade-offs in modern high-dimensional inference problems.
You can find more information about me in my CV.
Email:
rdudeja (at) wisc (dot) edu
Office:
6655 Morgridge Hall
1205 University Ave
Madison WI 53706.
Publications
High-Dimensional Asymptotics of Differentially Private PCA.
Youngjoo Yun, Rishabh Dudeja.
Preprint, 2025.
Rishabh Dudeja, Songbin Liu, Junjie Ma (alphabetic order).
Annals of Statistics (to appear), 2025+ [Journal Link].
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices.
Rishabh Dudeja, Subhabrata Sen, Yue M. Lu.
Transactions of Information Theory, 2024 [Journal Link].
Rishabh Dudeja, Daniel Hsu.
Annals of Statistics, 2024 [Journal Link].
Universality of Approximate Message Passing with Semi-Random Matrices.
Rishabh Dudeja, Yue M. Lu, Subhabrata Sen.
Annals of Probability, 2023 [Journal Link].
Universality of Linearized Message Passing for Phase Retrieval with Structured Sensing Matrices.
Rishabh Dudeja, Milad Bakhshizadeh.
Transactions on Information Theory, 2022 [Journal Link].
Statistical Query Lower Bounds for Tensor PCA.
Rishabh Dudeja, Daniel Hsu.
Journal of Machine Learning Research, 2021 [Journal Link].
Spectral Method for Phase Retrieval: an Expectation Propagation Perspective.
Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang.
Transactions on Information Theory, 2021 [Journal Link].
Information Theoretic Limits for Phase Retrieval with Subsampled Haar Sensing Matrices.
Rishabh Dudeja, Junjie Ma, Arian Maleki.
Transactions on Information Theory, 2020 [Journal Link].
Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal Matrices.
Rishabh Dudeja, Milad Bakhshizadeh, Junjie Ma, Arian Maleki.
Transactions on Information Theory, 2020 [Journal Link].
Attribute-efficient learning of monomials over highly-correlated variables.
Alexandr Andoni, Rishabh Dudeja, Daniel Hsu, Kiran Vodrahalli.
Conference on Algorithmic Learning Theory (ALT), 2019.
Learning single-index models in Gaussian space.
Rishabh Dudeja, Daniel Hsu.
Conference on Learning Theory (COLT), 2018.
Advising
I am lucky to work with the following amazing PhD students.
Teaching
I have taught the following courses at UW-Madison.