| Communication complexity of distributed convex learning and optimization Y Arjevani, O Shamir Advances in Neural Information Processing Systems 28, 2015 | 153 | 2015 |
| 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 | 109 | 2019 |
| Oracle Complexity of Second-Order Methods for Smooth Convex Optimization Y Arjevani, O Shamir, R Shiff Mathematical Programming, 2018, 2018 | 71 | 2018 |
| 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 | 36 | 2016 |
| On the iteration complexity of oblivious first-order optimization algorithms Y Arjevani, O Shamir International Conference on Machine Learning, 908-916, 2016 | 31 | 2016 |
| Oracle complexity of second-order methods for finite-sum problems Y Arjevani, O Shamir International Conference on Machine Learning, 205-213, 2017 | 28 | 2017 |
| A tight convergence analysis for stochastic gradient descent with delayed updates Y Arjevani, O Shamir, N Srebro Algorithmic Learning Theory, 111-132, 2020 | 24 | 2020 |
| Limitations on variance-reduction and acceleration schemes for finite sum optimization Y Arjevani Advances in Neural Information Processing Systems 30, 2017 | 18 | 2017 |
| 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 | 15 | 2020 |
| 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 | 12 | 2020 |
| Symmetry & critical points for a model shallow neural network Y Arjevani, M Field Physica D: Nonlinear Phenomena 427, 133014, 2021 | 8 | 2021 |
| 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 | 5 | 2020 |
| 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 | 3 | 2021 |
| Symmetry breaking in symmetric tensor decomposition Y Arjevani, J Bruna, M Field, J Kileel, M Trager, F Williams arXiv preprint arXiv:2103.06234, 2021 | 3 | 2021 |
| 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 | 3 | 2020 |
| Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of Y Arjevani, M Field arXiv preprint arXiv:2107.02422, 2021 | 2 | 2021 |
| 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 | 2 | 2014 |
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
