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Anthony Man-Cho So

Professor

The Chinese University of Hong Kong (CUHK)

Hong Kong

Research Interests

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Articles (20)

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2023

Collaborators (2)

Tong Zhang

Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Zheyu Wu

Imperial College London

UNITED KINGDOM

View details

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Anthony Man-Cho So

Research Interests

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Articles (20)

Computational Nonsmooth Analysis: Modern applications and recent developments [Special Issue on the Mathematics of Deep Learning]

A Riemannian Alternating Descent Ascent Algorithmic Framework for Nonconvex-Linear Minimax Problems on Riemannian Manifolds

Decentralized Weakly Convex Optimization Over the Stiefel Manifold

Gaussian Arimoto–Blahut Algorithm for Capacity Region Calculation of Gaussian Vector Broadcast Channels

Learning Graph Topology With Functional Priors via Bilevel Optimization

Optimal Low-Dimensional Structures of ISAC Beamforming: Theory and Efficient Algorithms

A Survey of Recent Advances in Optimization Methods for Wireless Communications

Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants

Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks

No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians

Global strong convexity and characterization of critical points of time-of-arrival-based source localization

Riemannian Natural Gradient Methods

Extreme Point Pursuit—Part I: A Framework for Constant Modulus Optimization

Extreme Point Pursuit—Part II: Further Error Bound Analysis and Applications

ROCS: Robust One-Bit Compressed Sensing With Application to Direction of Arrival

A unified flow scheduling method for time sensitive networks

Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence

A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning

Collaborators (2)

Tong Zhang

Zheyu Wu

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