Pratik Patil
11 papers · 2021–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π¬ Deep Specialist (10)
π
Triple Crown
π
Keyword Champion
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(10)
Optimization & Theory
(10)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Types Β· Machine Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Applications
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
ridge regression
(5)
prediction risk
(4)
prediction interval
(3)
high-dimensional statistics
(2)
generalized cross-validation
(2)
ridge regularization
(2)
asymptotic analysis
(1)
least squares regression
(1)
ensemble learning
(1)
variance reduction
(1)
language model
(1)
early stopping
(1)
mean squared error
(1)
neural representation
(1)
statistical estimation
(1)
implicit regularization
(1)
ensemble method
(1)
gradient descent
(1)
empirical baye
(1)
random matrix theory
(1)
Papers
"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"
ECCV 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
Implicit Regularization Paths of Weighted Neural Representations
NeurIPS 2024
Optimal Ridge Regularization for Out-of-Distribution Prediction
ICML 2024
Precise Model Benchmarking with Only a Few Observations
EMNLP 2024
Bagging in overparameterized learning: Risk characterization and risk monotonization
JMLR 2023
Generalized equivalences between subsampling and ridge regularization
NeurIPS 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
ICML 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