Anthony Man-Cho So
25 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (6)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
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Triple Crown
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Keyword Champion
(4)
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Grand Slam
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Deep Specialist
(14)
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Century Club
(25)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(116)
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Trend Setter
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Unstoppable
(7)
Conferences
NIPS (9)
ICML (7)
AISTATS (5)
AAAI (2)
ICLR (1)
NAACL (1)
Top co-authors
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 $Ο$-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