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04/10/2023
First-order methods for Stochastic Variational Inequality problems with Function Constraints
The monotone Variational Inequality (VI) is an important problem in mach...
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09/10/2022
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
In this work, we aim to investigate Primal-Dual (PD) methods for convex-...
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04/07/2021
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
In this work, we conduct the first systematic study of stochastic variat...
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10/23/2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
Nonconvex sparse models have received significant attention in high-dime...
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12/06/2019
Differentially Private Mixed-Type Data Generation For Unsupervised Learning
In this work we introduce the DP-auto-GAN framework for synthetic data g...
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10/15/2019
Flowless: Extracting Densest Subgraphs Without Flow Computations
We propose a simple and computationally efficient method for dense subgr...
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09/26/2019
Faster width-dependent algorithm for mixed packing and covering LPs
In this paper, we give a faster width-dependent algorithm for mixed pack...
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08/07/2019
Proximal Point Methods for Optimization with Nonconvex Functional Constraints
Nonconvex optimization is becoming more and more important in machine le...
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09/27/2018
