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2103.04031
Cited By

Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation

v1v2 (latest)

Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

6 March 2021

ArXiv (abs)PDF HTML

Papers citing "Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation"

9 / 9 papers shown

Fast Heavy Inner Product Identification Between Weights and Inputs in
Neural Network Training

Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training

292

0

0

19 Nov 2023

Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph
Neural Network?

Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?

367

9

0

14 Sep 2023

Online Adaptive Mahalanobis Distance Estimation

Online Adaptive Mahalanobis Distance EstimationBigData Congress [Services Society] (BSS), 2023

432

2

0

02 Sep 2023

Efficient SGD Neural Network Training via Sublinear Activated Neuron
Identification

Efficient SGD Neural Network Training via Sublinear Activated Neuron IdentificationBigData Congress [Services Society] (BSS), 2023

254

10

0

13 Jul 2023

Sketch In, Sketch Out: Accelerating both Learning and Inference for
Structured Prediction with Kernels

Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with KernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Luc Brogat-Motte

Pierre Laforgue

Florence dÁlché-Buc

389

6

0

20 Feb 2023

Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified
Sketches

Fast Kernel Methods for Generic Lipschitz Losses via

p

-Sparsified Sketches

Pierre Laforgue

Florence dÁlché-Buc

520

8

0

08 Jun 2022

Calibrate and Debias Layer-wise Sampling for Graph Convolutional
Networks

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks

Dilek Z. Hakkani-Tür

464

7

0

01 Jun 2022

Sketching as a Tool for Understanding and Accelerating Self-attention
for Long Sequences

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

Dilek Z. Hakkani-Tür

Heng Ji

183

7

0

10 Dec 2021

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström
Method

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström MethodNeural Information Processing Systems (NeurIPS), 2021

Heng Ji

276

66

0

29 Oct 2021

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