Co-occurring keywords · papers mentioning both
Papers
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
ICML 2025
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
ICML 2025
Generalization through variance: how noise shapes inductive biases in diffusion models
ICLR 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
ICML 2025
Structure Learning with Continuous Optimization: A Sober Look and Beyond
CLeaR 2024
Variance estimation in compound decision theory under boundedness
NeurIPS 2024
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
COLT 2022
Efficient Truncated Linear Regression with Unknown Noise Variance
NeurIPS 2021
Perfect Dimensionality Recovery by Variational Bayesian PCA
NeurIPS 2012