Co-occurring keywords · papers mentioning both
Papers
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
UAI 2023
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
ICLR 2022
Experimental Design for Regret Minimization in Linear Bandits
AISTATS 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
NeurIPS 2021
Dimension-Free Error Bounds from Random Projections
AAAI 2019
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
NeurIPS 2018
High Dimensional Structured Superposition Models
NeurIPS 2016
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
NeurIPS 2015
Structured Estimation with Atomic Norms: General Bounds and Applications
NeurIPS 2015
Unified View of Matrix Completion under General Structural Constraints
NeurIPS 2015
Estimation with Norm Regularization
NeurIPS 2014
Generalized Dantzig Selector: Application to the k-support norm
NeurIPS 2014