Aditya Guntuboyina

Affiliations:
  • University of California, Berkeley, Department of Statistics
  • Yale University, Department of Statistics


According to our database1, Aditya Guntuboyina authored at least 13 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Max-Affine Regression: Parameter Estimation for Gaussian Designs.
IEEE Trans. Inf. Theory, 2022

2020
Max-affine regression with universal parameter estimation for small-ball designs.
Proceedings of the IEEE International Symposium on Information Theory, 2020

On Suboptimality of Least Squares with Application to Estimation of Convex Bodies.
Proceedings of the Conference on Learning Theory, 2020

2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation.
CoRR, 2019

2017
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues.
IEEE Trans. Inf. Theory, 2017

The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii.
CoRR, 2017

2016
On Bayes Risk Lower Bounds.
J. Mach. Learn. Res., 2016

2014
Sharp Inequalities for $f$ -Divergences.
IEEE Trans. Inf. Theory, 2014

Covering numbers of $L_p$-balls of convex sets and functions.
CoRR, 2014

2013
Covering Numbers for Convex Functions.
IEEE Trans. Inf. Theory, 2013

2012
L1 Covering Numbers for Uniformly Bounded Convex Functions
Proceedings of the COLT 2012, 2012

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

2010
Minimax lower bounds via f-divergences.
Proceedings of the IEEE International Symposium on Information Theory, 2010


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