{"total":29,"rows":[{"id":"2112.00706","title":"Clustering Mixtures with Almost Optimal Separation in Polynomial Time","created":"2021-12-01","cited_by_count":28,"area":null},{"id":"2110.04947","title":"Towards Demystifying Representation Learning with Non-contrastive Self-supervision","created":"2021-10-11","cited_by_count":23,"area":null},{"id":"2106.08537","title":"Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation","created":"2021-06-16","cited_by_count":21,"area":null},{"id":"2101.01301","title":"Adversarial Combinatorial Bandits with General Non-linear Reward Functions","created":"2021-01-05","cited_by_count":14,"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":"2104.09665","title":"Learning GMMs with Nearly Optimal Robustness Guarantees","created":"2021-04-19","cited_by_count":12,"area":null},{"id":"2302.07426","title":"Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy","created":"2023-02-15","cited_by_count":10,"area":null},{"id":"2105.12769","title":"Clustered Federated Learning via Generalized Total Variation Minimization","created":"2021-05-26","cited_by_count":7,"area":null},{"id":"2110.15821","title":"Landscape analysis of an improved power method for tensor decomposition","created":"2021-10-29","cited_by_count":7,"area":null},{"id":"2202.06930","title":"Tensor Moments of Gaussian Mixture Models: Theory and Applications","created":"2022-02-14","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":"2201.09040","title":"Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures","created":"2022-01-22","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":"2112.05445","title":"Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures","created":"2021-12-10","cited_by_count":5,"area":null},{"id":"2511.03892","title":"A general technique for approximating high-dimensional empirical kernel matrices","created":"2025-11-05","cited_by_count":4,"area":null},{"id":"2106.02774","title":"Robust Model Selection and Nearly-Proper Learning for GMMs","created":"2021-06-05","cited_by_count":3,"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":"2106.02680","title":"Algorithms from Invariants: Smoothed Analysis of Orbit Recovery over $SO(3)$","created":"2021-06-04","cited_by_count":2,"area":null},{"id":"2202.07707","title":"On the Role of Channel Capacity in Learning Gaussian Mixture Models","created":"2022-02-15","cited_by_count":2,"area":null},{"id":"2312.11926","title":"Big Learning Expectation Maximization","created":"2023-12-19","cited_by_count":2,"area":null},{"id":"2504.19446","title":"Learning High-dimensional Gaussians from Censored Data","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2305.19992","title":"A Nested Matrix-Tensor Model for Noisy Multi-view Clustering","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2311.07284","title":"Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning","created":"2023-11-13","cited_by_count":1,"area":null},{"id":"2408.12564","title":"Factor Adjusted Spectral Clustering for Mixture Models","created":"2024-08-22","cited_by_count":1,"area":null},{"id":"2507.20459","title":"Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling","created":"2025-07-28","cited_by_count":1,"area":null},{"id":"2601.05157","title":"Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2411.00213","title":"Learning Mixtures of Unknown Causal Interventions","created":"2024-10-31","cited_by_count":0,"area":null},{"id":"2509.22879","title":"Mixtures Closest to a Given Measure: A Semidefinite Programming Approach","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.17063","title":"Mode Collapse of Mean-Field Variational Inference","created":"2025-10-20","cited_by_count":0,"area":null}],"next_cursor":null}