Co-occurring keywords · papers mentioning both
Papers
Optimal L2 Regularization in High-dimensional Continual Linear Regression
ALT 2026
Certified Machine Unlearning Under High Dimensional Regime
JMLR 2025
Differentially Private Optimization with Sparse Gradients
NeurIPS 2024
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
COLT 2023
Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics
AISTATS 2023
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions
AISTATS 2022
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
L4DC 2021
Precise Tradeoffs in Adversarial Training for Linear Regression
COLT 2020
Statistical and Computational Rates in Graph Logistic Regression
AISTATS 2020
Learning ReLUs via Gradient Descent
NeurIPS 2017
Solving Most Systems of Random Quadratic Equations
NeurIPS 2017
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
ICML 2014