Anthony Man-Cho So
25 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Deep Specialist
(15)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(119)
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Research topics
Machine Learning
(22)
Mathematics & Optimization
(20)
Optimization & Theory Β· Machine Learning
(19)
Optimization
(17)
Mathematics
(10)
Core Methods
(9)
Deep Learning
(5)
Optimization & Theory Β· Deep Learning
(5)
Artificial Intelligence
(3)
Data Science & Analytics
(2)
Applications
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Computer Science
(1)
Keywords
non-convex optimization
(6)
stochastic block model
(5)
convex optimization
(4)
spectral method
(4)
community detection
(4)
first-order method
(3)
community recovery
(3)
support vector machine
(3)
optimal transport
(2)
alternating direction method of multiplier
(2)
graph algorithm
(2)
convergence rate
(2)
graph clustering
(2)
logistic regression
(2)
distributionally robust optimization
(2)
wasserstein distance
(2)
manifold optimization
(2)
accelerated gradient
(2)
linear convergence
(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
NeurIPS 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method
AISTATS 2024
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
ICLR 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
NeurIPS 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning
AAAI 2023
Outlier-Robust Gromov-Wasserstein for Graph Data
NeurIPS 2023
Projected Tensor Power Method for Hypergraph Community Recovery
ICML 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
NeurIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
NeurIPS 2023
Computing D-Stationary Points of $Ο$-Margin Loss SVM
AISTATS 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
ICML 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
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
AISTATS 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
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
NeurIPS 2020
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine
NeurIPS 2020
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression
NeurIPS 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
NeurIPS 2013