Pratik Patil
11 papers · 2021–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (5)
π
Triple Crown
π
Keyword Champion
(4)
β‘
Prolific Year
(6)
π
Century Club
(11)
Conferences
AISTATS (3)
ICML (2)
NIPS (2)
ECCV (1)
EMNLP (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
ridge regression
(4)
prediction risk
(3)
prediction interval
(2)
high-dimensional statistics
(2)
gradient descent
(1)
statistical estimation
(1)
variance reduction
(1)
least squares regression
(1)
early stopping
(1)
mean squared error
(1)
neural representation
(1)
empirical baye
(1)
ensemble method
(1)
implicit regularization
(1)
language model
(1)
confidence interval
(1)
model benchmarking
(1)
linear model
(1)
ridge regularization
(1)
error distribution
(1)
Papers
Precise Model Benchmarking with Only a Few Observations
EMNLP 2024
Implicit Regularization Paths of Weighted Neural Representations
NIPS 2024
Optimal Ridge Regularization for Out-of-Distribution Prediction
ICML 2024
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
ICLR 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024
"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"
ECCV 2024
Bagging in overparameterized learning: Risk characterization and risk monotonization
JMLR 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
ICML 2023
Generalized equivalences between subsampling and ridge regularization
NIPS 2023
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
AISTATS 2022
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
AISTATS 2021