Pratik Patil |
Research | Teaching | Talks | Personal |
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Brief bio: I am currently a postdoctoral researcher at the University of California at Berkeley. I received my Ph.D. jointly in Statistics and Machine Learning from Carnegie Mellon University in Pittsburgh. Before that, I received an M.A.Sc. in Electrical and Computer Engineering along with an M.Sc. in Statistics from the University of Toronto, where I was an exchange student from the Indian Institute of Technology at Guwahati while pursuing a B.Tech. in Electronics and Communications Engineering. Interests: Broadly in statistics, machine learning, information theory, coding theory, signal processing, wireless communications. I tend to enjoy things based on elegant mathematical theories that also manage to provide useful insights into various engineered and physical systems.
Email: pratikpatil[at]berkeley[dot]edu Address: Evans Hall 472, University Dr, Berkeley, CA 94720 |
Asymptotically Free Ridge Ensembles: Risks, Cross-Validation, and Tuning
Pratik Patil and Daniel LeJeune
[arXiv]
Generalized Equivalences between Subsampling and Ridge Regularization
Pratik Patil and Jin-Hong Du
Neural Information Processing Systems (NeurIPS), 2023
[paper]
Mitigating Multiple Descents: A Model-Agnostic Framework for Risk Monotonization
Pratik Patil, Arun Kuchibhotla, Yuting Wei, and Alessandro Rinaldo
[arXiv]
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
[paper]
Objective Frequentist Uncertainty Quantification for Atmospheric CO2 Retrievals
Pratik Patil, Mikael Kuusela, and Jon Hobbs
SIAM-ASA Journal on Uncertainty Quantification (JUQ), 2022
[paper]