So, Anthony Man-Cho

25 publications

NeurIPS 2025 Set Smoothness Unlocks Clarke Hyper-Stationarity in Bilevel Optimization He Chen, Jiajin Li, Anthony Man-Cho So

NeurIPS 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds with Heterogeneous Data Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson

NeurIPSW 2024 Spurious Stationarity and Hardness Results for Mirror Descent He Chen, Jiajin Li, Anthony Man-Cho So

ICLR 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet

NeurIPS 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees Shangyuan Liu, Linglingzhi Zhu, Anthony Man-Cho So

AAAI 2023 On the Effectiveness of Parameter-Efficient Fine-Tuning Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier

NeurIPS 2023 Outlier-Robust Gromov-Wasserstein for Graph Data Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So

ICML 2023 Projected Tensor Power Method for Hypergraph Community Recovery Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So

NeurIPS 2023 ReSync: Riemannian Subgradient-Based Robust Rotation Synchronization Huikang Liu, Xiao Li, Anthony Man-Cho So

NeurIPSW 2023 Testing Approximate Stationarity Concepts for Piecewise Affine Functions and Extensions Lai Tian, Anthony Man-Cho So

NeurIPS 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose Blanchet, Jiajin Li

NeurIPSW 2022 Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou, Anthony Man-Cho So, James Cheng

ICML 2022 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano

NeurIPSW 2022 Nonsmooth Composite Nonconvex-Concave Minimax Optimization Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So

ICML 2022 On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions Lai Tian, Kaiwen Zhou, Anthony Man-Cho So

AAAI 2021 A Theoretical Analysis of the Repetition Problem in Text Generation Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

ICML 2021 Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So

ICML 2020 A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model Peng Wang, Zirui Zhou, Anthony Man-Cho So

NeurIPS 2020 Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates Kaiwen Zhou, Anthony Man-Cho So, James Cheng

NeurIPS 2020 Fast Epigraphical Projection-Based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine Jiajin Li, Caihua Chen, Anthony Man-Cho So

NeurIPS 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression Jiajin Li, Sen Huang, Anthony Man-Cho So

ICML 2016 Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods Huikang Liu, Weijie Wu, Anthony Man-Cho So

AAAI 2015 Kernelized Online Imbalanced Learning with Fixed Budgets Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So

ICML 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods Zirui Zhou, Qi Zhang, Anthony Man-Cho So

NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization Ke Hou, Zirui Zhou, Anthony Man-Cho So, Zhi-Quan Luo