Yossi Arjevani
12 papers · 2015–2022 · 5 venues · across top CS/AI venues
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Keywords
lower bound
(5)
convex optimization
(4)
finite-sum optimization
(3)
hessian spectrum
(2)
loss landscape
(2)
iteration complexity
(2)
relu neural network
(2)
oracle complexity
(2)
first-order optimization
(2)
accelerated gradient descent
(2)
complexity bound
(2)
second-order method
(2)
spurious minima
(2)
gradient descent
(2)
optimization landscape
(2)
strongly convex
(2)
continuous optimization
(1)
neural network optimization
(1)
non-convex optimization
(1)
stochastic gradient
(1)
Papers
Annihilation of Spurious Minima in Two-Layer ReLU Networks
NeurIPS 2022
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
NeurIPS 2021
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
NeurIPS 2020
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
ALT 2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
NeurIPS 2020
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations
COLT 2020
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
NeurIPS 2017
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
ICML 2017
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
NeurIPS 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
JMLR 2016
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
ICML 2016
Communication Complexity of Distributed Convex Learning and Optimization
NeurIPS 2015