Linear Algebra

Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022 Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022 Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022 KoPA: Automated Kronecker Product Approximation JMLR 2022 Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022 Non-Gaussian Tensor Programs NeurIPS 2022 Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022 NTF of Spectral and Spatial Features for Tracking and Separation of Moving Sound Sources in Spherical Harmonic Domain Interspeech 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 On the rank of 2×2×2 probability tables PGM 2022 Optimal Query Complexities for Dynamic Trace Estimation NeurIPS 2022 Polynomial time guarantees for the Burer-Monteiro method NeurIPS 2022 Power Iteration for Tensor PCA JMLR 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Random Graph Matching in Geometric Models: the Case of Complete Graphs COLT 2022 Random Tensor Theory for Tensor Decomposition AAAI 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NeurIPS 2022 Scanline Homographies for Rolling-Shutter Plane Absolute Pose CVPR 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022 Subquadratic Kronecker Regression with Applications to Tensor Decomposition NeurIPS 2022 Understanding Doubly Stochastic Clustering ICML 2022