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02/05/2023
KDEformer: Accelerating Transformers via Kernel Density Estimation
Dot-product attention mechanism plays a crucial role in modern deep arch...
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09/09/2022
Fast Neural Kernel Embeddings for General Activations
Infinite width limit has shed light on generalization and optimization a...
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07/01/2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) is an elegant model that assigns a p...
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02/25/2022
Near Optimal Reconstruction of Spherical Harmonic Expansions
We propose an algorithm for robust recovery of the spherical harmonic ex...
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02/07/2022
Random Gegenbauer Features for Scalable Kernel Methods
We propose efficient random features for approximating a new and rich cl...
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01/20/2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) on a collection of M items is a mode...
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06/15/2021
Scaling Neural Tangent Kernels via Sketching and Random Features
The Neural Tangent Kernel (NTK) characterizes the behavior of infinitely...
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04/03/2021
Random Features for the Neural Tangent Kernel
The Neural Tangent Kernel (NTK) has discovered connections between deep ...
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06/17/2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Determinantal point processes (DPPs) have attracted significant attentio...
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05/28/2019
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
This paper studies how to sketch element-wise functions of low-rank matr...
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02/18/2018