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Haim Avron

19 papers · 2013–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (30) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (90)

Venues

ICML (7) NeurIPS (6) JMLR (5) CVPR (1)

Top co-authors

Insu Han (5) Vikas Sindhwani (5) Amir Zandieh (4) Jinwoo Shin (3) Petros Drineas (3) Agniva Chowdhury (3) Jiyan Yang (3) Palma London (2) Gregory Dexter (2) David Woodruff (2)

Research topics

Mathematics & Optimization (17) Machine Learning (16) Core Methods (12) Optimization (12) Mathematics (11) Optimization & Theory Β· Machine Learning (9) Application Areas (5) Deep Learning (3) Bayesian & Probabilistic Β· Machine Learning (2) Optimization & Theory Β· Deep Learning (2) Artificial Intelligence (1) Architectures (1) Bayesian & Probabilistic Β· Artificial Intelligence (1)

Keywords

kernel methods (7) kernel approximation (4) interior point method (3) random feature (3) linear programming (3) low-rank approximation (3) shift-invariant kernel (2) low-discrepancy sequence (2) feature map (2) randomized algorithm (2) matrix sketching (2) kernel regression (2) quasi-monte carlo (2) randomized linear algebra (2) neural tangent kernel (2) kernel ridge regression (2) canonical correlation analysis (2) conjugate gradient (2) numerical linear algebra (2) random fourier feature (2)

Papers

Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024 Near Optimal Reconstruction of Spherical Harmonic Expansions NeurIPS 2023 Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022 Gauss-Legendre Features for Gaussian Process Regression JMLR 2022 On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming ICML 2022 Random Gegenbauer Features for Scalable Kernel Methods ICML 2022 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs NeurIPS 2020 Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix ICML 2020 Stochastic Chebyshev Gradient Descent for Spectral Optimization NeurIPS 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 NeurIPS 2014 Efficient Dimensionality Reduction for Canonical Correlation Analysis ICML 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013