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ORCIDPratik Patil
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2020 – today
- 2024
[j9]Riccardo Fogliato
, Pratik Patil, Pietro Perona:
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. Int. J. Comput. Vis. 132(11): 5346-5371 (2024)- [j8]Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani:
Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. 6(1): 199-225 (2024) - [c18]Pratik Patil, Yuchen Wu, Ryan J. Tibshirani:
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent. AISTATS 2024: 2260-2268 - [c17]Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. ECCV (88) 2024: 140-158 - [c16]Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort:
Precise Model Benchmarking with Only a Few Observations. EMNLP 2024: 9563-9575 - [c15]Pratik Patil, Daniel LeJeune:
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning. ICLR 2024 - [c14]Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani:
Optimal Ridge Regularization for Out-of-Distribution Prediction. ICML 2024 - [i18]Pratik Patil, Yuchen Wu, Ryan J. Tibshirani:
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent. CoRR abs/2402.16793 (2024) - [i17]Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani:
Optimal Ridge Regularization for Out-of-Distribution Prediction. CoRR abs/2404.01233 (2024) - [i16]Pratik Patil, Prerna Tulsiani, Sunil Mane:
Mitigating Data Sharing in Public Cloud using Blockchain. CoRR abs/2404.16872 (2024) - [i15]Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR abs/2406.07320 (2024) - [i14]Jin-Hong Du, Pratik Patil:
Implicit Regularization Paths of Weighted Neural Representations. CoRR abs/2408.15784 (2024) - [i13]Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani:
Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning. CoRR abs/2410.01259 (2024) - [i12]Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort:
Precise Model Benchmarking with Only a Few Observations. CoRR abs/2410.05222 (2024) - 2023
- [j7]Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla:
Bagging in overparameterized learning: Risk characterization and risk monotonization. J. Mach. Learn. Res. 24: 319:1-319:113 (2023) - [c13]Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla:
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation. ICML 2023: 8585-8631 - [c12]Pratik Patil, Jin-Hong Du:
Generalized equivalences between subsampling and ridge regularization. NeurIPS 2023 - [i11]Jin-Hong Du, Pratik Patil, Arun Kumar Kuchibhotla:
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation. CoRR abs/2304.13016 (2023) - [i10]Pratik Patil, Jin-Hong Du:
Generalized equivalences between subsampling and ridge regularization. CoRR abs/2305.18496 (2023) - [i9]Riccardo Fogliato, Pratik Patil, Pietro Perona:
Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. CoRR abs/2306.01198 (2023) - 2022
- [j6]Pratik Patil, Mikael Kuusela, Jonathan Hobbs:
Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals. SIAM/ASA J. Uncertain. Quantification 10(3): 827-859 (2022) - [c11]Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani:
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression. AISTATS 2022: 6087-6120 - [c10]Abhishek Pandey, Senjuti Sen, Soumyadip Majumder, Dev Savla, Pratik Patil:
Location Intelligence in Amalgamation of Floating Solar PV & Electric Vehicle. IGARSS 2022: 2888-2891 - [i8]Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo:
Mitigating multiple descents: A model-agnostic framework for risk monotonization. CoRR abs/2205.12937 (2022) - [i7]Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani:
Asymptotics of the Sketched Pseudoinverse. CoRR abs/2211.03751 (2022) - 2021
- [j5]Liang Liu, Ya-Feng Liu, Pratik Patil, Wei Yu:
Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels With Compressing Relays. IEEE Trans. Inf. Theory 67(11): 7304-7337 (2021) - [c9]Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani:
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. AISTATS 2021: 3178-3186 - 2020
- [c8]Pratik Patil, Ching-Seh Mike Wu, Katerina Potika, Marjan Orang:
Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models. ICSIM 2020: 85-92 - [i6]Liang Liu, Ya-Feng Liu, Pratik Patil, Wei Yu:
Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays. CoRR abs/2008.10901 (2020)
2010 – 2019
- 2019
- [j4]Pratik Patil, Wei Yu:
Generalized Compression Strategy for the Downlink Cloud Radio Access Network. IEEE Trans. Inf. Theory 65(10): 6766-6780 (2019) - 2018
- [j3]Pratik Patil, Binbin Dai, Wei Yu:
Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network. IEEE Trans. Commun. 66(11): 5370-5384 (2018) - [j2]Liang Liu, Pratik Patil, Wei Yu:
Channel Diagonalization for Cloud Radio Access. IEEE Wirel. Commun. Lett. 7(4): 622-625 (2018) - [i5]Pratik Patil, Wei Yu:
Generalized Compression Strategy for the Downlink Cloud Radio Access Network. CoRR abs/1801.00394 (2018) - [i4]Liang Liu, Pratik Patil, Wei Yu:
Channel Diagonalization for Cloud Radio Access. CoRR abs/1802.01807 (2018) - [i3]Pratik Patil, Binbin Dai, Wei Yu:
Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network. CoRR abs/1806.00673 (2018) - 2017
- [j1]Ahmed Badr, Pratik Patil, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos:
Layered Constructions for Low-Delay Streaming Codes. IEEE Trans. Inf. Theory 63(1): 111-141 (2017) - 2016
- [c7]Liang Liu, Pratik Patil, Wei Yu:
An uplink-downlink duality for cloud radio access network. ISIT 2016: 1606-1610 - [i2]Liang Liu, Pratik Patil, Wei Yu:
An uplink-downlink duality for cloud radio access network. CoRR abs/1606.09131 (2016) - 2015
- [c6]Pratik Patil, Binbin Dai, Wei Yu:
Performance comparison of data-sharing and compression strategies for cloud radio access networks. EUSIPCO 2015: 2456-2460 - 2014
- [c5]Pratik Patil, Wei Yu:
Hybrid compression and message-sharing strategy for the downlink cloud radio-access network. ITA 2014: 1-6 - 2013
- [c4]Pratik Patil, Ahmed Badr, Ashish Khisti, Wai-Tian Tan:
Delay-optimal streaming codes under source-channel rate mismatch. ACSSC 2013: 2094-2099 - [c3]Pratik Patil, Ahmed Badr, Ashish Khisti:
Streaming erasure codes under mismatched source-channel frame rates. CWIT 2013: 153-157 - [i1]Ahmed Badr, Pratik Patil, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos:
Layered Constructions for Low-Delay Streaming Codes. CoRR abs/1308.3827 (2013) - 2010
- [c2]Pratik Patil, Subodh Karve, Amol Pande:
Effective toll collection by RFID and client server model. ICWET 2010: 1016
2000 – 2009
- 2006
- [c1]Nathan Schurr, Pratik Patil, Frédéric H. Pighin, Milind Tambe:
Using multiagent teams to improve the training of incident commanders. AAMAS 2006: 1490-1497
Coauthor Index
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