{"total":38,"rows":[{"id":"2206.04030","title":"High-dimensional limit theorems for SGD: Effective dynamics and critical scaling","created":"2022-06-08","cited_by_count":70,"area":null},{"id":"2305.10633","title":"Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models","created":"2023-05-18","cited_by_count":61,"area":null},{"id":"2112.00706","title":"Clustering Mixtures with Almost Optimal Separation in Polynomial Time","created":"2021-12-01","cited_by_count":28,"area":null},{"id":"2112.03898","title":"Lattice-Based Methods Surpass Sum-of-Squares in Clustering","created":"2021-12-07","cited_by_count":25,"area":null},{"id":"2105.15081","title":"Optimal Spectral Recovery of a Planted Vector in a Subspace","created":"2021-05-31","cited_by_count":21,"area":null},{"id":"2504.05426","title":"Survey on Algorithms for multi-index models","created":"2025-04-07","cited_by_count":15,"area":null},{"id":"2110.01602","title":"Clustering a Mixture of Gaussians with Unknown Covariance","created":"2021-10-04","cited_by_count":14,"area":null},{"id":"2107.09660","title":"On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors","created":"2021-07-20","cited_by_count":10,"area":null},{"id":"2110.10210","title":"Long Random Matrices and Tensor Unfolding","created":"2021-10-19","cited_by_count":10,"area":null},{"id":"2310.06793","title":"Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning","created":"2023-10-10","cited_by_count":10,"area":null},{"id":"2404.18735","title":"Tensor cumulants for statistical inference on invariant distributions","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2101.01509","title":"SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation","created":"2021-01-05","cited_by_count":7,"area":null},{"id":"2203.02790","title":"A Robust Spectral Algorithm for Overcomplete Tensor Decomposition","created":"2022-03-05","cited_by_count":7,"area":null},{"id":"2209.02001","title":"On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions","created":"2022-09-05","cited_by_count":6,"area":null},{"id":"2211.05274","title":"Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials","created":"2022-11-10","cited_by_count":6,"area":null},{"id":"2202.06442","title":"Fast algorithm for overcomplete order-3 tensor decomposition","created":"2022-02-14","cited_by_count":5,"area":null},{"id":"2402.15409","title":"Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2411.05708","title":"Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models","created":"2024-11-08","cited_by_count":4,"area":null},{"id":"2211.03827","title":"Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models","created":"2022-11-07","cited_by_count":3,"area":null},{"id":"2301.11124","title":"SQ Lower Bounds for Random Sparse Planted Vector Problem","created":"2023-01-26","cited_by_count":3,"area":null},{"id":"2302.12693","title":"Wasserstein Projection Pursuit of Non-Gaussian Signals","created":"2023-02-24","cited_by_count":3,"area":null},{"id":"2406.01552","title":"Tensor learning with orthogonal, Lorentz, and symplectic symmetries","created":"2024-06-03","cited_by_count":3,"area":null},{"id":"2411.02764","title":"Fast, robust approximate message passing","created":"2024-11-05","cited_by_count":3,"area":null},{"id":"2412.21203","title":"SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More","created":"2024-12-30","cited_by_count":3,"area":null},{"id":"2302.10158","title":"Sparse PCA Beyond Covariance Thresholding","created":"2023-02-20","cited_by_count":2,"area":null},{"id":"2401.01047","title":"Sharp Analysis of Power Iteration for Tensor PCA","created":"2024-01-02","cited_by_count":2,"area":null},{"id":"2403.04234","title":"Fundamental limits of Non-Linear Low-Rank Matrix Estimation","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2104.03298","title":"Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps","created":"2021-04-07","cited_by_count":1,"area":null},{"id":"2111.07834","title":"Conditional Linear Regression for Heterogeneous Covariances","created":"2021-11-15","cited_by_count":1,"area":null},{"id":"2409.04919","title":"Learning with Shared Representations: Statistical Rates and Efficient Algorithms","created":"2024-09-07","cited_by_count":1,"area":null},{"id":"2510.07732","title":"Rotated Mean-Field Variational Inference and Iterative Gaussianization","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2603.06028","title":"Improved high-dimensional estimation with Langevin dynamics and stochastic weight averaging","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2112.12306","title":"Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes","created":"2021-12-23","cited_by_count":0,"area":null},{"id":"2202.07992","title":"Improved analysis of randomized SVD for top-eigenvector approximation","created":"2022-02-16","cited_by_count":0,"area":null},{"id":"2209.02655","title":"Concentration of polynomial random matrices via Efron-Stein inequalities","created":"2022-09-06","cited_by_count":0,"area":null},{"id":"2411.14344","title":"Overcomplete Tensor Decomposition via Koszul-Young Flattenings","created":"2024-11-21","cited_by_count":0,"area":null},{"id":"2412.14650","title":"Permutation recovery of spikes in noisy high-dimensional tensor estimation","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2506.19273","title":"A large deviation view of \\emph{stationarized} fully lifted blirp interpolation","created":"2025-06-24","cited_by_count":0,"area":null}],"next_cursor":null}