Pratik Patil

According to our database, Pratik Patil authored at least 32 papers between 2006 and 2024.

Collaborative distances:

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

2024

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations.

Riccardo Fogliato, Pratik Patil, Pietro Perona

Int. J. Comput. Vis., November, 2024

Asymptotics of the Sketched Pseudoinverse.

Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani

SIAM J. Math. Data Sci., March, 2024

Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning.

Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani

CoRR, 2024

Implicit Regularization Paths of Weighted Neural Representations.

Jin-Hong Du, Pratik Patil

CoRR, 2024

Mitigating Data Sharing in Public Cloud using Blockchain.

Pratik Patil, Prerna Tulsiani, Sunil Mane

CoRR, 2024

Optimal Ridge Regularization for Out-of-Distribution Prediction.

Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning.

Pratik Patil, Daniel LeJeune

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Precise Model Benchmarking with Only a Few Observations.

Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation.

Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

Proceedings of the Computer Vision - ECCV 2024, 2024

Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent.

Pratik Patil, Yuchen Wu, Ryan J. Tibshirani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Bagging in overparameterized learning: Risk characterization and risk monotonization.

Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla

J. Mach. Learn. Res., 2023

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations.

Riccardo Fogliato, Pratik Patil, Pietro Perona

CoRR, 2023

Generalized equivalences between subsampling and ridge regularization.

Pratik Patil, Jin-Hong Du

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals.

Pratik Patil, Mikael Kuusela, Jonathan Hobbs

SIAM/ASA J. Uncertain. Quantification, 2022

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

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

CoRR, 2022

Location Intelligence in Amalgamation of Floating Solar PV & Electric Vehicle.

Abhishek Pandey, Senjuti Sen, Soumyadip Majumder, Dev Savla, Pratik Patil

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.

Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels With Compressing Relays.

Liang Liu, Ya-Feng Liu, Pratik Patil, Wei Yu

IEEE Trans. Inf. Theory, 2021

Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.

Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models.

Pratik Patil, Ching-Seh Mike Wu, Katerina Potika, Marjan Orang

Proceedings of the ICSIM '20: The 3rd International Conference on Software Engineering and Information Management, 2020

2019

Generalized Compression Strategy for the Downlink Cloud Radio Access Network.

Pratik Patil, Wei Yu

IEEE Trans. Inf. Theory, 2019

2018

Channel Diagonalization for Cloud Radio Access.

Liang Liu, Pratik Patil, Wei Yu

IEEE Wirel. Commun. Lett., 2018

Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network.

Pratik Patil, Binbin Dai, Wei Yu

IEEE Trans. Commun., 2018

2017

Layered Constructions for Low-Delay Streaming Codes.

Ahmed Badr, Pratik Patil, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos

IEEE Trans. Inf. Theory, 2017

2016

An uplink-downlink duality for cloud radio access network.

Liang Liu, Pratik Patil, Wei Yu

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Performance comparison of data-sharing and compression strategies for cloud radio access networks.

Pratik Patil, Binbin Dai, Wei Yu

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Hybrid compression and message-sharing strategy for the downlink cloud radio-access network.

Pratik Patil, Wei Yu

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

2013

Streaming erasure codes under mismatched source-channel frame rates.

Pratik Patil, Ahmed Badr, Ashish Khisti

Proceedings of the 13th Canadian Workshop on Information Theory, 2013

Delay-optimal streaming codes under source-channel rate mismatch.

Pratik Patil, Ahmed Badr, Ashish Khisti, Wai-Tian Tan

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2010

Effective toll collection by RFID and client server model.

Pratik Patil, Subodh Karve, Amol Pande

Proceedings of the ICWET '10 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 26, 2010

2006

Using multiagent teams to improve the training of incident commanders.

Nathan Schurr, Pratik Patil, Frédéric H. Pighin, Milind Tambe

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006