conftrace_

subspace embedding

16 papers

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Also known as

SE

Co-occurring keywords

dimensionality reduction (720) kernel methods (1097) low-rank approximation (323) random matrix (28) randomized algorithm (112) numerical linear algebra (35) low rank approximation (47) bayesian optimization (624) high-dimensional optimization (53) least squares regression (49)

Papers

BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
Sharper Bounds for $\ell_p$ Sensitivity Sampling ICML 2023
Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022
Subspace Embeddings under Nonlinear Transformations ALT 2021
In-Database Regression in Input Sparsity Time ICML 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling NIPS 2021
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021
Optimal Randomized First-Order Methods for Least-Squares Problems ICML 2020
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling ICML 2020
A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019
Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018
Sketching for Kronecker Product Regression and P-splines AISTATS 2018
Improved Distributed Principal Component Analysis NIPS 2014
Subspace Embeddings for the Polynomial Kernel NIPS 2014
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013