Co-occurring keywords · papers mentioning both
Papers
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
NeurIPS 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
NeurIPS 2017
Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics
JMLR 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics
JMLR 2016
Fast Algorithms for Segmented Regression
ICML 2016
Truthful Univariate Estimators
ICML 2016
Matrix Completion Under Monotonic Single Index Models
NeurIPS 2015
Adaptive Monte Carlo via Bandit Allocation
ICML 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
JMLR 2014
Convex Tensor Decomposition via Structured Schatten Norm Regularization
NeurIPS 2013
Perceptual Fidelity Aware Mean Squared Error
ICCV 2013
Communication-Efficient Algorithms for Statistical Optimization
NeurIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation
NeurIPS 2012
Analytical Results for the Error in Filtering of Gaussian Processes
NeurIPS 2011
Statistical Performance of Convex Tensor Decomposition
NeurIPS 2011
Near-minimax recursive density estimation on the binary hypercube
NeurIPS 2008