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Papers
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NeurIPS 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
NeurIPS 2023
Adversarial Classification: Necessary Conditions and Geometric Flows
JMLR 2022
Learning in Multi-Stage Decentralized Matching Markets
NeurIPS 2021
Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation
RSS 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
AISTATS 2021
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis
JMLR 2020