Co-occurring keywords · papers mentioning both
Papers
Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
ICML 2019
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
ICML 2018
Data Summarization at Scale: A Two-Stage Submodular Approach
ICML 2018
Differentially Private Robust Low-Rank Approximation
NeurIPS 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
NeurIPS 2018
Do Less, Get More: Streaming Submodular Maximization with Subsampling
NeurIPS 2018
Efficient Anomaly Detection via Matrix Sketching
NeurIPS 2018
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
NeurIPS 2018
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms
ICML 2018
Parallel and Streaming Algorithms for K-Core Decomposition
ICML 2018
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
JMLR 2018
Robust Subspace Approximation in a Stream
NeurIPS 2018
Streaming Kernel PCA with Õ(√n) Random Features
NeurIPS 2018
Streaming Principal Component Analysis in Noisy Setting
ICML 2018
Streaming word similarity mining on the cheap
EMNLP 2018
Training Gaussian Mixture Models at Scale via Coresets
JMLR 2018
A Minimax Optimal Algorithm for Crowdsourcing
NeurIPS 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiply
AISTATS 2017
Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten”
ICML 2017
Parallel Streaming Wasserstein Barycenters
NeurIPS 2017
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
NeurIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NeurIPS 2017
Tensor Decomposition via Simultaneous Power Iteration
ICML 2017
An Efficient Streaming Algorithm for the Submodular Cover Problem
NeurIPS 2016
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
NeurIPS 2016