Co-occurring keywords · papers mentioning both
Papers
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices
COLT 2021
Online Forgetting Process for Linear Regression Models
AISTATS 2021
On Optimal Interpolation in Linear Regression
NeurIPS 2021
Parameter-free HE-friendly Logistic Regression
NeurIPS 2021
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
AISTATS 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
NeurIPS 2021
The Benefits of Implicit Regularization from SGD in Least Squares Problems
NeurIPS 2021
Towards a Unified Analysis of Random Fourier Features
JMLR 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
AISTATS 2021
HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions
SemEval 2020
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
EMNLP 2020
On Coresets for Regularized Regression
ICML 2020
One-shot Distributed Ridge Regression in High Dimensions
ICML 2020
On the Generalization Effects of Linear Transformations in Data Augmentation
ICML 2020
On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression
NeurIPS 2020
Optimal Deterministic Coresets for Ridge Regression
AISTATS 2020
Regression under Human Assistance
AAAI 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
ICLR 2020
Sample complexity bounds for localized sketching
AISTATS 2020
Single Point Transductive Prediction
ICML 2020
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers
ICML 2020
The Implicit Regularization of Ordinary Least Squares Ensembles
AISTATS 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
ICML 2020
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization
JMLR 2020
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
ICML 2020