Arun K. Kuchibhotla

According to our database, Arun K. Kuchibhotla authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Time-uniform conformal and PAC prediction.

Kayla E. Scharfstein, Arun Kumar Kuchibhotla

CoRR, February, 2026

2025

Statistical Properties of Rectified Flow.

Gonzalo Mena, Arun Kumar Kuchibhotla, Larry Wasserman

CoRR, November, 2025

Statistical Inference for Online Algorithms.

Selina Carter, Arun K. Kuchibhotla

CoRR, May, 2025

2024

Extrapolated Cross-Validation for Randomized Ensembles.

Jin-Hong Du, Pratik Patil, Kathryn Roeder, Arun Kumar Kuchibhotla

J. Comput. Graph. Stat., 2024

2023

Bagging in overparameterized learning: Risk characterization and risk monotonization.

Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla

J. Mach. Learn. Res., 2023

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation.

Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla

Proceedings of the International Conference on Machine Learning, 2023

2022

Nested conformal prediction and quantile out-of-bag ensemble methods.

Chirag Gupta, Arun K. Kuchibhotla, Aaditya Ramdas

Pattern Recognit., 2022

Mitigating multiple descents: A model-agnostic framework for risk monotonization.

Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo

CoRR, 2022

2021

Near-Optimal Confidence Sequences for Bounded Random Variables.

Arun K. Kuchibhotla, Qinqing Zheng

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors.

Arun K. Kuchibhotla, Rohit K. Patra

CoRR, 2019

First order expansion of convex regularized estimators.

Pierre C. Bellec, Arun K. Kuchibhotla

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019