conftrace_

matrix estimation

34 papers

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Also known as

ME

Co-occurring keywords

matrix completion (356) low-rank matrix (174) covariance matrix (101) high-dimensional statistics (145) graphical model (864) precision matrix estimation (27) spectral norm (39) covariance estimation (98) convex optimization (1321) reinforcement learning (4352)

Papers

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Dimension-free Structured Covariance Estimation COLT 2024
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning NIPS 2023
Matrix Estimation for Individual Fairness ICML 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Differentially Private Covariance Revisited NIPS 2022
Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022
On Low-rank Trace Regression under General Sampling Distribution JMLR 2022
A heuristic for statistical seriation UAI 2021
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
Rank-one matrix estimation: analytic time evolution of gradient descent dynamics COLT 2021
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation NIPS 2020
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation ICML 2019
On Robustness of Principal Component Regression NIPS 2019
Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time COLT 2018
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models ICML 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018
Minimax Estimation of Bandable Precision Matrices NIPS 2017
On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NIPS 2016
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues ICML 2016