random matrix

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 The Distribution of Ridgeless Least Squares Interpolators JMLR 2026 Variational Tail Bounds for Norms of Random Vectors and Matrices COLT 2026 A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions ICLR 2025 Distributed Least Squares in Small Space via Sketching and Bias Reduction NeurIPS 2024 Near-optimal fitting of ellipsoids to random points COLT 2023 PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations COLT 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 NeurIPS 2022 Random Tensor Theory for Tensor Decomposition AAAI 2022 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization NeurIPS 2022 Analysis of one-hidden-layer neural networks via the resolvent method NeurIPS 2021 Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NeurIPS 2020 Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss NeurIPS 2019 Improved spectral community detection in large heterogeneous networks JMLR 2018