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05/24/2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
This work presents ReSync, a Riemannian subgradient-based algorithm for ...
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04/25/2023
Differential Privacy via Distributionally Robust Optimization
In recent years, differential privacy has emerged as the de facto standa...
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03/12/2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
In this work, we present the Bregman Alternating Projected Gradient (BAP...
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06/11/2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
The K-subspaces (KSS) method is a generalization of the K-means method f...
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05/17/2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning
In this paper, we study the design and analysis of a class of efficient ...
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01/19/2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I
In this work, we investigate stochastic quasi-Newton methods for minimiz...
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09/16/2020