Linear Algebra

Sparse Quantized Spectral Clustering ICLR 2021 Sparse sketches with small inversion bias COLT 2021 Streaming and Distributed Algorithms for Robust Column Subset Selection ICML 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph ICML 2021 Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021 Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021 Understanding Deflation Process in Over-parametrized Tensor Decomposition NeurIPS 2021 Unique sparse decomposition of low rank matrices NeurIPS 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020 An Õ(m/ε^3.5)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints COLT 2020 An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020 A novel variational form of the Schatten-p quasi-norm NeurIPS 2020 A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020 Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020 Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020 Entrywise convergence of iterative methods for eigenproblems NeurIPS 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020 Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020 Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method NeurIPS 2020