conftrace_

matrix computation

20 papers

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Co-occurring keywords

numerical linear algebra (35) top eigenvector (2) iterative algorithm (41) eigenvector computation (16) linear convergence (158) eigenvector approximation (4) canonical correlation analysis (111) gaussian process (1200) principal component analysis (316) combinatorial optimization (1039)

Papers

Asynchronous Randomized Trace Estimation AISTATS 2024
Approximating the Top Eigenvector in Random Order Streams NIPS 2024
Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations NIPS 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023
Fast Attention Requires Bounded Entries NIPS 2023
Fast Finite Width Neural Tangent Kernel ICML 2022
Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022
A Comprehensively Tight Analysis of Gradient Descent for PCA NIPS 2021
Scikit-network: Graph Analysis in Python JMLR 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
Approximating the Permanent by Sampling from Adaptive Partitions NIPS 2019
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NIPS 2018
Efficient coordinate-wise leading eigenvector computation ALT 2018
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016
Coordinate-wise Power Method NIPS 2016
Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis ICML 2016
Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015
large scale canonical correlation analysis with iterative least squares NIPS 2014