matrix-vector multiplication

Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis L4DC 2026 PointCNN++: Performant Convolution on Native Points CVPR 2026 Efficiently Access Diffusion Fisher: Within the Outer Product Span Space ICML 2025 On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms ICML 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023 Approximate Secular Equations for the Cubic Regularization Subproblem NeurIPS 2022 Kernel Interpolation with Sparse Grids NeurIPS 2022 The Fast Kernel Transform AISTATS 2022 Dynamic Trace Estimation NeurIPS 2021 Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021 Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes ICML 2021 ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications ICML 2020 K-means clustering using random matrix sparsification ICML 2018 Product Kernel Interpolation for Scalable Gaussian Processes AISTATS 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms ICML 2017 Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015 A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010