Co-occurring keywords · papers mentioning both
Papers
Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
ICML 2025
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory
UAI 2025
A Sublinear Adversarial Training Algorithm
ICLR 2024
Matroid Semi-Bandits in Sublinear Time
ICML 2024
Semi-Random Sparse Recovery in Nearly-Linear Time
COLT 2023
Linear Bandit Algorithms with Sublinear Time Complexity
ICML 2022
Rejection sampling from shape-constrained distributions in sublinear time
AISTATS 2022
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search
AISTATS 2020
Optimization from Structured Samples for Coverage Functions
ICML 2020
Scalable Graph Neural Networks via Bidirectional Propagation
NeurIPS 2020
Exact sampling of determinantal point processes with sublinear time preprocessing
NeurIPS 2019
Learning Determinantal Point Processes in Sublinear Time
AISTATS 2018
Sublinear Time Low-Rank Approximation of Distance Matrices
NeurIPS 2018
A Greedy Approach for Budgeted Maximum Inner Product Search
NeurIPS 2017
Approximation Algorithms for ℓ_0-Low Rank Approximation
NeurIPS 2017
Probabilistic Submodular Maximization in Sub-Linear Time
ICML 2017
Recycling Randomness with Structure for Sublinear time Kernel Expansions
ICML 2016
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
NeurIPS 2014
Approximating Semidefinite Programs in Sublinear Time
NeurIPS 2011
Beating SGD: Learning SVMs in Sublinear Time
NeurIPS 2011
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
NeurIPS 2010