Ridge Regularized

Papers

October 1, 2024

High-dimensional logistic regression with missing data: Imputation, regularization, and universality
Kabir Aladin Verchand, Andrea Montanari
Raw Data High Dimensional Regularization Model Imputation Algorithm Imputation Method K$ Universality Knowledge Enhanced Conditional Imputation Ridge Regularized

June 13, 2024

Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
Mihailo Stojnic
Least Square Covariance Matrix Comprehensive Analysis Classical Data Asset Correlation Ridge Regularized Random Duality Theory

March 27, 2024

Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
Jeremy E. Cohen, Valentin Leplat
Neural Network Matrix Factorization Low Rank Approximation Efficient Algorithm Tucker Decomposition Ridge Regularized

November 23, 2023

Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus
Gabriele Maroni, Loris Cannelli, Dario Piga
Bilevel Optimization Terminator Economy New Hyperparameter Ridge Regularized Regularization Hyperparameters

May 4, 2023

Using interpretable boosting algorithms for modeling environmental and agricultural data
Fabian Obster, Christian Heumann, Heidi Bohle, Paul Pechan
Practical Algorithm High Dimensional Agricultural Data Boosting Algorithm Ridge Regularized

October 20, 2022

Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Daniel LeJeune, Jiayu Liu, Reinhard Heckel
Distribution Shift Covariate Shift Linear Function Approximation Linear Inverse Problem Monotonic Representation Distribution Performance Ridge Regularized

February 18, 2022

Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar
Causal Model Interpolation Regime Causal Learning Regularization Parameter Ridge Regularized

February 2, 2022

Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Membership Inference Attack Privacy Policy Many Parameter Membership Inference Overparametrization Bound Optimal Trade Ridge Regularized

May 30, 2020

Ridge Regularization: an Essential Concept in Data Science
Trevor Hastie
Machine Learning Regularization Model Data Science High Impact Concept Statistical Analysis Ridge Regularized Ridge Surface