Minimax lower bounds via f-divergences. - Aditya Guntuboyina (ISIT, 2010)

Lower Bounds for the Minimax Risk Using f -Divergences, and Applications. - Aditya Guntuboyina (IEEE Trans. Inf. Theory, 2011)

L1 Covering Numbers for Uniformly Bounded Convex Functions - Adityanand Guntuboyina; Bodhisattva Sen (COLT, 2012)

Covering Numbers for Convex Functions. - Adityanand Guntuboyina; Bodhisattva Sen (IEEE Trans. Inf. Theory, 2013)

Covering numbers of $L_p$-balls of convex sets and functions. - Adityanand Guntuboyina (CoRR, 2014)

Sharp Inequalities for $f$ -Divergences. - Adityanand Guntuboyina; Sujayam Saha; Geoffrey Schiebinger (IEEE Trans. Inf. Theory, 2014)

On Bayes Risk Lower Bounds. - Xi Chen; Adityanand Guntuboyina; Yuchen Zhang (J. Mach. Learn. Res., 2016)

The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii. - Yuting Wei 001; Martin J. Wainwright; Adityanand Guntuboyina (CoRR, 2017)

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. - Nihar B. Shah; Sivaraman Balakrishnan; Adityanand Guntuboyina; Martin J. Wainwright (IEEE Trans. Inf. Theory, 2017)

Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (CoRR, 2019)

On Suboptimality of Least Squares with Application to Estimation of Convex Bodies. - Gil Kur; Alexander Rakhlin; Adityanand Guntuboyina (COLT, 2020)

Max-affine regression with universal parameter estimation for small-ball designs. - Avishek Ghosh; Ashwin Pananjady; Aditya Guntuboyina; Kannan Ramchandran (ISIT, 2020)

Max-Affine Regression: Parameter Estimation for Gaussian Designs. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2022)

Adaptive Convergence Rates for Log-Concave Maximum Likelihood. - Gil Kur; Aditya Guntuboyina (AISTATS, 2025)