Garvesh Raskutti

13 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-0522-5423

Publications

• Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• PUlasso: High-Dimensional Variable Selection With Presence-Only Data — Journal of the American Statistical Association 2020
• Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Convex regularization for high-dimensional multiresponse tensor regression — The Annals of Statistics 2019
• Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS) — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Geometry of the faithfulness assumption in causal inference — The Annals of Statistics 2013
• Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
• Restricted Eigenvalue Properties for Correlated Gaussian Designs — Journal of Machine Learning Research 2010 (name-matched, not ORCID-linked)