Haim Avron
Identifiers
- name variant Haim Avron 0.60 · backfill
Papers (20)
- Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery cs.LG · 2026 · author #7
- A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms cs.DS · 2018 · author #1
- Stable Tensor Neural Networks for Rapid Deep Learning cs.LG · 2018 · author #3
- Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees cs.LG · 2018 · author #1
- Sketching for Principal Component Regression math.NA · 2018 · author #2
- Stochastic Chebyshev Gradient Descent for Spectral Optimization cs.LG · 2018 · author #2
- Should You Derive, Or Let the Data Drive? An Optimization Framework for Hybrid First-Principles Data-Driven Modeling stat.ML · 2017 · author #3
- Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models stat.ML · 2017 · author #3
- Sharper Bounds for Regularized Data Fitting cs.DS · 2016 · author #1
- Faster Kernel Ridge Regression Using Sketching and Preconditioning cs.NA · 2016 · author #1
- Hierarchically Compositional Kernels for Scalable Nonparametric Learning cs.LG · 2016 · author #2
- Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations cs.DS · 2016 · author #3
- Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels stat.ML · 2014 · author #1
- High-performance Kernel Machines with Implicit Distributed Optimization and Randomization stat.ML · 2014 · author #2
- Revisiting Asynchronous Linear Solvers: Provable Convergence Rate Through Randomization cs.DC · 2013 · author #1
- Spectral Condition-Number Estimation of Large Sparse Matrices cs.NA · 2013 · author #1
- Efficient Dimensionality Reduction for Canonical Correlation Analysis cs.DS · 2012 · author #1
- Faster Subset Selection for Matrices and Applications cs.DS · 2011 · author #1
- Effective Stiffness: Generalizing Effective Resistance Sampling to Finite Element Matrices cs.NA · 2011 · author #1
- On Element SDD Approximability cs.NA · 2009 · author #1
Mentions
- 1812.08723 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1611.03220 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1412.8293 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1301.1107 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1209.2185 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1201.0127 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1110.4437 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 0911.0547 #1 · arxiv_oai · confidence 0.70 Haim Avron
- 1412.8293 #1 · backfill · confidence 0.70 Haim Avron
- 1409.0940 #2 · backfill · confidence 0.70 Haim Avron
- 1304.6475 #1 · backfill · confidence 0.70 Haim Avron
- 1301.1107 #1 · backfill · confidence 0.70 Haim Avron
- 1209.2185 #1 · backfill · confidence 0.70 Haim Avron
- 1201.0127 #1 · backfill · confidence 0.70 Haim Avron
- 1110.4437 #1 · backfill · confidence 0.70 Haim Avron
- 2605.20440 #7 · arxiv_oai · confidence 0.70 Haim Avron
- 0911.0547 #1 · backfill · confidence 0.70 Haim Avron
Frequent Coauthors
- Lior Horesh 4 shared papers
- Sivan Toledo 4 shared papers
- Kenneth L. Clarkson 3 shared papers
- Vikas Sindhwani 3 shared papers
- Alex Druinsky 2 shared papers
- Ameya Velingker 2 shared papers
- Amir Zandieh 2 shared papers
- Cameron Musco 2 shared papers
- Christopher Musco 2 shared papers
- Christos Boutsidis 2 shared papers
- David P. Woodruff 2 shared papers
- Insu Han 2 shared papers
- Jinwoo Shin 2 shared papers
- Michael Kapralov 2 shared papers
- Misha Kilmer 2 shared papers
- Anastasios Zouzias 1 shared papers
- Anshul Gupta 1 shared papers
- Dmitry Malioutov 1 shared papers
- Dongsung Huh 1 shared papers
- Elizabeth Newman 1 shared papers