Patil, Pratik

1. Optimal Ridge Regularization for Out-of-Distribution Prediction
   2024/04/01 by Patil, Pratik, Du, Jin-Hong, Tibshirani, Ryan J. · 6 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
2. A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
   2024/06/11 by Riccardo Fogliato, Pratik Patil, Fogliato, Riccardo +5 · 6 citations
   Engineering · #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems
3. Objective frequentist uncertainty quantification for atmospheric CO₂\n retrievals
   2020/07/29 by Pratik Patil, Mikael Kuusela, Patil, Pratik +3 · 2 citations
   Computer Science · Engineering · Environmental Science · #15A29 #62F30 #62P12 #90C90 #Applications (stat.AP) #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Calibration and Measurement Techniques #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Geochemistry and Geologic Mapping #Statistics and Probability (physics.data-an)
4. Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network
   2018/06/02 by Patil, Pratik, Dai, Binbin, Yu, Wei · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT)
5. Asymptotics of the Sketched Pseudoinverse
   2022/11/07 by Daniel LeJeune, Pratik Patil, LeJeune, Daniel +7 · 1 citation
   Computer Science · Mathematics · #15B52 #46L54 #62J07 #Advanced Combinatorial Mathematics #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Random Matrices and Applications #Statistics Theory (math.ST)
6. Generalized equivalences between subsampling and ridge regularization
   2023/05/29 by Pratik Patil, Patil, Pratik, Jin‐Hong Du +1 · 1 citation
   Mathematics · Computer Science · Engineering · #Statistical Methods and Inference #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
7. Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture
   2023/10/03 by Pau Batlle, Batlle, Pau, Pratik Patil +7 · 2 citations
   Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
8. Corrected generalized cross-validation for finite ensembles of penalized estimators
   2023/10/02 by Bellec, Pierre C., Du, Jin-Hong, Koriyama, Takuya +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
9. Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
   2024/02/26 by Patil, Pratik, Wu, Yuchen, Tibshirani, Ryan J. · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
10. Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays
    2020/08/25 by Liu, Liang, Liu, Ya-Feng, Patil, Pratik +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering
11. Precise Asymptotics of Bagging Regularized M-estimators
    2024/09/23 by Koriyama, Takuya, Patil, Pratik, Du, Jin-Hong +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
12. Confidence intervals for functionals in constrained inverse problems via data-adaptive sampling-based calibration
    2025/02/04 by Michael Stanley, Pau Batlle, Stanley, Michael +7 · 2 citations
    Mathematics · Engineering · #Numerical methods in inverse problems #Statistical and numerical algorithms #Sparse and Compressive Sensing Techniques
13. Precise Model Benchmarking with Only a Few Observations
    2024/10/07 by Fogliato, Riccardo, Patil, Pratik, Akpinar, Nil-Jana +1 · 1 citation
    #Applications (stat.AP) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)