Amir Zandieh
13 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
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Conferences
ICML (6)
NIPS (4)
AAAI (1)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
kernel ridge regression
(4)
kernel methods
(4)
spectral approximation
(3)
neural tangent kernel
(3)
kernel regression
(2)
random feature
(2)
kernel approximation
(2)
random fourier feature
(2)
gaussian kernel
(2)
adaptive sampling
(1)
cardinality constraint
(1)
fourier transform
(1)
sample complexity
(1)
sparse approximation
(1)
locality sensitive hashing
(1)
attention mechanism
(1)
data summarization
(1)
signal reconstruction
(1)
matrix sketching
(1)
kernel density estimation
(1)
Papers
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
AAAI 2025
HyperAttention: Long-context Attention in Near-Linear Time
ICLR 2024
KDEformer: Accelerating Transformers via Kernel Density Estimation
ICML 2023
Near Optimal Reconstruction of Spherical Harmonic Expansions
NIPS 2023
Random Gegenbauer Features for Scalable Kernel Methods
ICML 2022
Fast Neural Kernel Embeddings for General Activations
NIPS 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
ICML 2022
Scaling Neural Tangent Kernels via Sketching and Random Features
NIPS 2021
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing
AISTATS 2020
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
ICML 2020
Efficiently Learning Fourier Sparse Set Functions
NIPS 2019
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
ICML 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
ICML 2017