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08/21/2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
The conjugate gradient method is a crucial first-order optimization meth...
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08/01/2023
Mirror Natural Evolution Strategies
The zeroth-order optimization has been widely used in machine learning a...
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04/15/2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
We study finite-sum distributed optimization problems with n-clients und...
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12/05/2022
A Simple and Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
This paper studies the stochastic optimization for decentralized nonconv...
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10/25/2022
An Optimal Stochastic Algorithm for Decentralized Nonconvex Finite-sum Optimization
This paper studies the synchronized decentralized nonconvex optimization...
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02/01/2022
Decentralized Stochastic Variance Reduced Extragradient Method
This paper studies decentralized convex-concave minimax optimization pro...
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10/16/2021
Greedy and Random Broyden's Methods with Explicit Superlinear Convergence Rates in Nonlinear Equations
In this paper, we propose the greedy and random Broyden's method for sol...
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09/05/2020
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
We study the streaming model for approximate matrix multiplication (AMM)...
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12/29/2018
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Zeroth-order optimization or derivative-free optimization is an importan...
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02/27/2017