Co-occurring keywords · papers mentioning both
Papers
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
ICML 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
NeurIPS 2020
First-Order Methods for Large-Scale Market Equilibrium Computation
NeurIPS 2020
Improved Algorithms for Convex-Concave Minimax Optimization
NeurIPS 2020
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds
NeurIPS 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
CVPR 2020
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond
COLT 2020
Optimal Randomized First-Order Methods for Least-Squares Problems
ICML 2020
The estimation error of general first order methods
COLT 2020
An Optimal Algorithm for Stochastic Three-Composite Optimization
AISTATS 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
NeurIPS 2019
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory
ICML 2019
Efficient Algorithms for Smooth Minimax Optimization
NeurIPS 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
AISTATS 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
ICML 2019
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
NeurIPS 2019
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
COLT 2019
The Common-directions Method for Regularized Empirical Risk Minimization
JMLR 2019
A Generic Approach for Escaping Saddle points
AISTATS 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice
JMLR 2018
Catalyst for Gradient-based Nonconvex Optimization
AISTATS 2018
Efficient First-Order Algorithms for Adaptive Signal Denoising
ICML 2018
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
NeurIPS 2018
From Predictive Methods to Missing Data Imputation: An Optimization Approach
JMLR 2018
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
ICML 2018