Haim Avron
19 papers · 2013–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (11)
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Academic Marathon
(11)
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Cross-Pollinator
(13)
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(2)
ποΈ
Keyword Collector
(83)
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Unstoppable
(6)
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Century Club
(19)
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Conferences
ICML (7)
NIPS (6)
JMLR (5)
CVPR (1)
Top co-authors
Keywords
kernel methods
(7)
kernel approximation
(4)
random feature
(3)
linear programming
(3)
interior point method
(3)
low-discrepancy sequence
(2)
low-rank approximation
(2)
quasi-monte carlo
(2)
randomized algorithm
(2)
feature map
(2)
matrix sketching
(2)
kernel regression
(2)
randomized linear algebra
(2)
shift-invariant kernel
(2)
neural tangent kernel
(2)
kernel ridge regression
(2)
conjugate gradient
(2)
numerical linear algebra
(2)
random fourier feature
(2)
signal reconstruction
(1)
Papers
Faster Randomized Methods for Orthogonality Constrained Problems
JMLR 2024
Near Optimal Reconstruction of Spherical Harmonic Expansions
NIPS 2023
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
ICML 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
JMLR 2022
Gauss-Legendre Features for Gaussian Process Regression
JMLR 2022
Random Gegenbauer Features for Scalable Kernel Methods
ICML 2022
Scaling Neural Tangent Kernels via Sketching and Random Features
NIPS 2021
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
ICML 2020
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
NIPS 2020
Stochastic Chebyshev Gradient Descent for Spectral Optimization
NIPS 2018
Hierarchically Compositional Kernels for Scalable Nonparametric Learning
JMLR 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
ICML 2017
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
JMLR 2016
Community Detection Using Time-Dependent Personalized PageRank
ICML 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
ICML 2014
Random Laplace Feature Maps for Semigroup Kernels on Histograms
CVPR 2014
Subspace Embeddings for the Polynomial Kernel
NIPS 2014
Sketching Structured Matrices for Faster Nonlinear Regression
NIPS 2013
Efficient Dimensionality Reduction for Canonical Correlation Analysis
ICML 2013