Co-occurring keywords · papers mentioning both
Papers
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
ICLR 2025
OctoSketch: Enabling Real-Time, Continuous Network Monitoring over Multiple Cores
NSDI 2024
Solving Attention Kernel Regression Problem via Pre-conditioner
AISTATS 2024
Improved Frequency Estimation Algorithms with and without Predictions
NeurIPS 2023
Learning the Positions in CountSketch
ICLR 2023
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
NeurIPS 2023
Conformal Frequency Estimation with Sketched Data
NeurIPS 2022
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
NeurIPS 2022
Improving sign-random-projection via count sketch
UAI 2022
Iterative Double Sketching for Faster Least-Squares Optimization
ICML 2022
Sketching Algorithms and Lower Bounds for Ridge Regression
ICML 2022
SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches
NSDI 2022
Planning with General Objective Functions: Going Beyond Total Rewards
NeurIPS 2020
Randomness Efficient Feature Hashing for Sparse Binary Data
ACML 2020
Scaling up Simhash
ACML 2020
Decentralized sketching of low rank matrices
NeurIPS 2019
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
ICML 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
NeurIPS 2018
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
NeurIPS 2018
A simple sketching algorithm for entropy estimation over streaming data
AISTATS 2013
One sketch for all: Theory and Application of Conditional Random Sampling
NeurIPS 2008