133 results on '"Yue, M."'
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2. A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification.
3. Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime.
4. Asymptotics of feature learning in two-layer networks after one gradient-step.
5. Universality Laws for High-Dimensional Learning With Random Features.
6. SLOPE for Sparse Linear Regression: Asymptotics and Optimal Regularization.
7. Construction of optimal spectral methods in phase retrieval.
8. On the Inherent Regularization Effects of Noise Injection During Training.
9. Keynote Speaker #2 : Exploring and exploiting the universality phenomenon in high-dimensional estimation and learning.
10. Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles.
11. Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime.
12. Analysis of Random Sequential Message Passing Algorithms for Approximate Inference.
13. Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices.
14. A Solvable High-Dimensional Model of GAN.
15. Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression.
16. Generalized Approximate Survey Propagation for High-Dimensional Estimation.
17. The Limiting Poisson Law of Massive MIMO Detection With Box Relaxation.
18. Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization.
19. Online Power Iteration For Subspace Estimation Under Incomplete Observations: Limiting Dynamics And Phase Transitions.
20. Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview.
21. Super Resolution Phase Retrieval for Sparse Signals.
22. MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance.
23. Optimal Spectral Initialization for Signal Recovery With Applications to Phase Retrieval.
24. Phase Transitions in Transfer Learning for High-Dimensional Perceptrons.
25. On the Inherent Regularization Effects of Noise Injection During Training.
26. Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles.
27. The Scaling Limit of High-Dimensional Online Independent Component Analysis.
28. Phase retrieval via linear programming: Fundamental limits and algorithmic improvements.
29. Multiprocessor approximate message passing with column-wise partitioning.
30. Learning optimal parameters for binary sensing image reconstruction algorithms.
31. Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions.
32. Fundamental limits of phasemax for phase retrieval: A replica analysis.
33. Construction of optimal spectral methods in phase retrieval.
34. Universality Laws for High-Dimensional Learning with Random Features.
35. A Precise Performance Analysis of Learning with Random Features.
36. The Limiting Poisson Law of Massive MIMO Detection with Box Relaxation.
37. Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization.
38. The role of regularization in classification of high-dimensional noisy Gaussian mixture.
39. Sparse Representation in Fourier and Local Bases Using ProSparse: A Probabilistic Analysis.
40. Streaming PCA and Subspace Tracking: The Missing Data Case.
41. Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis.
42. A parallel primal-dual interior-point method for DC optimal power flow.
43. Prosparse denoise: Prony's based sparse pattern recovery in the presence of noise.
44. Online learning for sparse PCA in high dimensions: Exact dynamics and phase transitions.
45. Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective.
46. Generalized Approximate Survey Propagation for High-Dimensional Estimation.
47. Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression.
48. Multiscale guided deblurring: Chromatic aberration correction in color and near-infrared imaging.
49. Phase retrieval using iterative projections: Dynamics in the large systems limit.
50. Sampling spherical finite rate of innovation signals.
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