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Yossi Arjevani
Yossi Arjevani
Verified email at mail.huji.ac.il
Title
Cited by
Cited by
Year
Communication complexity of distributed convex learning and optimization
Y Arjevani, O Shamir
Advances in Neural Information Processing Systems 28, 2015
1532015
Lower bounds for non-convex stochastic optimization
Y Arjevani, Y Carmon, JC Duchi, DJ Foster, N Srebro, B Woodworth
arXiv preprint arXiv:1912.02365, 2019
1092019
Oracle Complexity of Second-Order Methods for Smooth Convex Optimization
Y Arjevani, O Shamir, R Shiff
Mathematical Programming, 2018, 2018
712018
On lower and upper bounds in smooth and strongly convex optimization
Y Arjevani, S Shalev-Shwartz, O Shamir
The Journal of Machine Learning Research 17 (1), 4303-4353, 2016
50*2016
Dimension-free iteration complexity of finite sum optimization problems
Y Arjevani, O Shamir
Advances in Neural Information Processing Systems 29, 2016
362016
On the iteration complexity of oblivious first-order optimization algorithms
Y Arjevani, O Shamir
International Conference on Machine Learning, 908-916, 2016
312016
Oracle complexity of second-order methods for finite-sum problems
Y Arjevani, O Shamir
International Conference on Machine Learning, 205-213, 2017
282017
A tight convergence analysis for stochastic gradient descent with delayed updates
Y Arjevani, O Shamir, N Srebro
Algorithmic Learning Theory, 111-132, 2020
242020
Limitations on variance-reduction and acceleration schemes for finite sum optimization
Y Arjevani
Advances in Neural Information Processing Systems 30, 2017
182017
Second-order information in non-convex stochastic optimization: Power and limitations
Y Arjevani, Y Carmon, JC Duchi, DJ Foster, A Sekhari, K Sridharan
Conference on Learning Theory, 242-299, 2020
152020
Ideal: Inexact decentralized accelerated augmented lagrangian method
Y Arjevani, J Bruna, B Can, M Gürbüzbalaban, S Jegelka, H Lin
Advances in Neural Information Processing Systems 33, 2020
122020
Symmetry & critical points for a model shallow neural network
Y Arjevani, M Field
Physica D: Nonlinear Phenomena 427, 133014, 2021
82021
On the principle of least symmetry breaking in shallow relu models
Y Arjevani, M Field
arXiv preprint arXiv:1912.11939, 2019
6*2019
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
Y Arjevani, M Field
Advances in Neural Information Processing Systems 33, 2020
52020
Oracle complexity of second-order methods for smooth convex optimization (2017)
Y Arjevani, O Shamir, R Shiff
arXiv preprint arXiv:1705.07260, 0
5
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks
Y Arjevani, M Field
Advances in Neural Information Processing Systems 34, 2021
32021
Symmetry breaking in symmetric tensor decomposition
Y Arjevani, J Bruna, M Field, J Kileel, M Trager, F Williams
arXiv preprint arXiv:2103.06234, 2021
32021
On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions
Y Arjevani, A Daniely, S Jegelka, H Lin
arXiv preprint arXiv:2002.03273, 2020
32020
Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of
Y Arjevani, M Field
arXiv preprint arXiv:2107.02422, 2021
22021
On Lower and Upper Bounds in Smooth Strongly Convex Optimization-A Unified Approach via Linear Iterative Methods
Y Arjevani
arXiv preprint arXiv:1410.6387, 2014
22014
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