← Authors

Anthony Man-Cho So

25 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ’Ž Century Club (25) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (116) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7)

Conferences

NIPS (9) ICML (7) AISTATS (5) AAAI (2) ICLR (1) NAACL (1)

Top co-authors

Peng Wang (5) Huikang Liu (5) JIAJIN LI (5) Zirui Zhou (4) Lai Tian (3) Kaiwen Zhou (3) Zihao Fu (2) James Cheng (2) Lemin Kong (2) Jose Blanchet (2)

Keywords

stochastic block model (5) nonconvex optimization (4) spectral method (4) convex optimization (4) community detection (4) first-order method (3) support vector machine (3) community recovery (3) non-convex optimization (2) graph clustering (2) alternating direction method of multiplier (2) convergence rate (2) graph algorithm (2) logistic regression (2) linear convergence (2) manifold optimization (2) wasserstein distance (2) accelerated gradient (2) distributionally robust optimization (2) convergence guarantee (2)

Papers

Probe-Free Low-Rank Activation Intervention NAACL 2025
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NIPS 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024
Outlier-Robust Gromov-Wasserstein for Graph Data NIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NIPS 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NIPS 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning AAAI 2023
Projected Tensor Power Method for Hypergraph Community Recovery ICML 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NIPS 2023
Computing D-Stationary Points of $ρ$-Margin Loss SVM AISTATS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Exact Community Recovery over Signed Graphs AISTATS 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions ICML 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022
A Theoretical Analysis of the Repetition Problem in Text Generation AAAI 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine NIPS 2020
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model ICML 2020
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NIPS 2020
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods ICML 2016
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NIPS 2013