Amir Zandieh
13 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Grand Slam
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Mathematics & Optimization
(8)
Optimization & Theory Β· Machine Learning
(7)
Application Areas
(6)
Core Methods
(6)
Mathematics
(6)
Optimization
(6)
Deep Learning
(4)
Architectures
(4)
Artificial Intelligence
(2)
Core AI
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
kernel ridge regression
(4)
kernel methods
(4)
neural tangent kernel
(3)
spectral approximation
(3)
kernel regression
(2)
locality sensitive hashing
(2)
kernel approximation
(2)
gaussian kernel
(2)
random fourier feature
(2)
random feature
(2)
efficient inference
(1)
fourier transform
(1)
cardinality constraint
(1)
sparse approximation
(1)
sample complexity
(1)
signal reconstruction
(1)
attention mechanism
(1)
kernel density estimation
(1)
data summarization
(1)
spectral norm
(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
NeurIPS 2023
Fast Neural Kernel Embeddings for General Activations
NeurIPS 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
ICML 2022
Random Gegenbauer Features for Scalable Kernel Methods
ICML 2022
Scaling Neural Tangent Kernels via Sketching and Random Features
NeurIPS 2021
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
ICML 2020
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing
AISTATS 2020
Efficiently Learning Fourier Sparse Set Functions
NeurIPS 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