Garvesh Raskutti

Mathematics · Physical Sciences

24h-index3.7kcitations96works0.02yr avg
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Research Topics

Statistical Methods and Inference(41), Sparse and Compressive Sensing Techniques(25), Bayesian Modeling and Causal Inference(10), Tensor decomposition and applications(10), Machine Learning and Data Classification(10)

Publications96 total

A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization
ArXiv.org·2026Open Access
A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization
arXiv (Cornell University)·2026Open Access
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
arXiv (Cornell University)·2025Open Access
Reliable and scalable variable importance estimation via warm-start and early stopping
arXiv (Cornell University)·2024Open Access
Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees
arXiv (Cornell University)·2023Open Access
High-dimensional Multi-class Classification with Presence-only Data
arXiv (Cornell University)·2023· 2 citedOpen Access
Lazy Estimation of Variable Importance for Large Neural Networks
arXiv (Cornell University)·2022· 1 citedOpen Access
Convergence guarantee for the sparse monotone single index model
Electronic Journal of Statistics·2022· 1 citedOpen Access
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
arXiv (Cornell University)·2021· 1 citedOpen Access
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
arXiv (Cornell University)·2021· 7 citedOpen Access
Prediction in the Presence of Response-Dependent Missing Labels
2021· 1 cited
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
arXiv (Cornell University)·2021· 1 citedOpen Access
Convergence guarantee for the sparse monotone single index model
arXiv (Cornell University)·2021· 1 citedOpen Access
Prediction in the presence of response-dependent missing labels
arXiv (Cornell University)·2021· 1 citedOpen Access
High-Dimensional Variable Selection with Presence-Only Data [R package PUlasso version 3.2.4]
2021
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
arXiv (Cornell University)·2021· 1 citedOpen Access
Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions
Journal of Machine Learning Research·2021
The Internet of Federated Things (IoFT)
IEEE Access·2021· 50 citedOpen Access
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning
Cell Systems·2020· 54 citedOpen Access
Inferring protein sequence-function relationships with large-scale positive-unlabeled learning
2020· 8 citedOpen Access
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Frequent Co-authors

Martin J. Wainwright(12), Bin Yu(9), Ming Yuan(6), Rebecca Willett(5), Hyebin Song(4), Raed Al Kontar(4), Caroline Uhler(3), Eric C. Hall(3), Gunwoong Park(3), Pradeep Ravikumar(2), Bin Yu(2), Bin Yu(2), Kerry Hinton(2), Cuong Duong(2), Adam Kowalczyk(2), Wayne A. Phillips(2), Bennett J. Bremer(2), Emily C. Hinds(2), Philip A. Romero(2), Naichen Shi(2)