Haim Avron
Cited by
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Randomized Algorithms for Estimating the Trace of an Implicit Symmetric Positive Semi-definite Matrix
H Avron, S Toledo
Journal of the ACM (JACM) 58 (2), 8, 2011
Blendenpik: Supercharging LAPACK's Least-Squares Solver
H Avron, P Maymounkov, S Toledo
SIAM J. Scientific Computing (SISC) 32 (3), 1217--1236, 2010
ℓ 1-Sparse Reconstruction of Sharp Point Set Surfaces
H Avron, A Sharf, C Greif, D Cohen-Or
ACM Transactions on Graphics (TOG) 29 (5), 135, 2010
Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees
H Avron, M Kapralov, C Musco, C Musco, A Velingker, A Zandieh
International conference on machine learning, 253-262, 2017
Kernel Methods Match Deep Neural Networks on TIMIT
PS Huang, H Avron, TN Sainath, V Sindhwani, B Ramabhadran
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Faster kernel ridge regression using sketching and preconditioning
H Avron, KL Clarkson, DP Woodruff
SIAM Journal on Matrix Analysis and Applications 38 (4), 1116-1138, 2017
Quasi-Monte Carlo feature maps for shift-invariant kernels
J Yang, V Sindhwani, H Avron, M Mahoney
International Conference on Machine Learning, 485-493, 2014
Subspace embeddings for the polynomial kernel
H Avron, H Nguyen, D Woodruff
Advances in Neural Information Processing Systems (NIPS), 2258-2266, 2014
Faster Subset Selection for Matrices and Applications
H Avron, C Boutsidis
SIAM Journal on Matrix Analysis and Applications (SIMAX) 34 (4), 1464-1499, 2013
Revisiting Asynchronous Linear Solvers: Provable Convergence Rate Through Randomization
H Avron, A Druinsky, A Gupta
Journal of the ACM (JACM) 62 (6), 51:1--51:27, 2015
Counting Triangles in Large Graphs Using Randomized Matrix Trace Estimation
H Avron
Large-scale Data Mining: Theory and Applications (KDD 2010 Workshop), 2010
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
H Avron, V Sindhwani, J Yang, MW Mahoney
Journal of Machine Learning Research (JMLR) 17 (120), 1-38, 2016
Approximating spectral sums of large-scale matrices using stochastic Chebyshev approximations
I Han, D Malioutov, H Avron, J Shin
SIAM Journal on Scientific Computing 39 (4), A1558-A1585, 2017
Tensor-tensor algebra for optimal representation and compression of multiway data
ME Kilmer, L Horesh, H Avron, E Newman
Proceedings of the National Academy of Sciences 118 (28), e2015851118, 2021
Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
H Avron, S Kale, S Kasiviswanathan, V Sindhwani
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
Sharper bounds for regularized data fitting
H Avron, KL Clarkson, DP Woodruff
arXiv preprint arXiv:1611.03225, 2016
Efficient Dimensionality Reduction for Canonical Correlation Analysis
H Avron, C Boutsidis, S Toledo, A Zouzias
SIAM Journal on Scientific Computing (SISC) 36 (5), S111-131, 2014
Random Laplace Feature Maps for Semigroup Kernels on Histograms
J Yang, V Sindhwani, Q Fan, H Avron, MW Mahoney
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Stable tensor neural networks for rapid deep learning
E Newman, L Horesh, H Avron, M Kilmer
arXiv preprint arXiv:1811.06569, 2018
PFunc: modern task parallelism for modern high performance computing
P Kambadur, A Gupta, A Ghoting, H Avron, A Lumsdaine
International Conference for High Performance Computing, Networking, Storage …, 2009
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