conftrace_

random matrix

28 papers

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Co-occurring keywords

random matrix theory (63) spectral analysis (239) dimensionality reduction (720) kernel methods (1097) neural network (6616) low-rank approximation (323) tensor decomposition (375) community detection (276) spectral clustering (305) neural network initialization (33)

Papers

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Near-optimal fitting of ellipsoids to random points COLT 2023
PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources ICML 2022
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022
A Random Matrix Perspective on Random Tensors JMLR 2022
Non-Gaussian Tensor Programs NIPS 2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization NIPS 2022
Random Tensor Theory for Tensor Decomposition AAAI 2022
Analysis of one-hidden-layer neural networks via the resolvent method NIPS 2021
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NIPS 2020
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NIPS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions NIPS 2020
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss NIPS 2019
The Dynamics of Learning: A Random Matrix Approach ICML 2018
Improved spectral community detection in large heterogeneous networks JMLR 2018
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NIPS 2017
A Random Matrix Approach to Echo-State Neural Networks ICML 2016
Spectral thresholds in the bipartite stochastic block model COLT 2016
Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems COLT 2015