nystrom approximation

Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Nyström M-Hilbert-Schmidt independence criterion UAI 2023 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 Efficient Kernelized UCB for Contextual Bandits AISTATS 2022 Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022 Generalization Properties of hyper-RKHS and its Applications JMLR 2021 Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019 Efficient and principled score estimation with Nyström kernel exponential families AISTATS 2018 Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018 Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means IJCAI 2017 Deep Learning in Semantic Kernel Spaces ACL 2017 Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NeurIPS 2017 Recursive Sampling for the Nystrom Method NeurIPS 2017 Computationally Efficient Nyström Approximation using Fast Transforms ICML 2016 Less is More: Nyström Computational Regularization NeurIPS 2015 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013 Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 A novel greedy algorithm for Nyström approximation AISTATS 2011