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Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems


Apr 07, 2021
Digvijay Boob, Cristóbal Guzmán


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A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization


Oct 23, 2020
Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang

* Accepted at NeurIPS 2020 

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Differentially Private Mixed-Type Data Generation For Unsupervised Learning


Dec 06, 2019
Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings


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Faster width-dependent algorithm for mixed packing and covering LPs


Sep 26, 2019
Digvijay Boob, Saurabh Sawlani, Di Wang

* Accepted for oral presentation at NeurIPS 2019 

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Proximal Point Methods for Optimization with Nonconvex Functional Constraints


Aug 07, 2019
Digvijay Boob, Qi Deng, Guanghui Lan


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Complexity of Training ReLU Neural Network


Sep 27, 2018
Digvijay Boob, Santanu S. Dey, Guanghui Lan


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Theoretical properties of the global optimizer of two layer neural network


Oct 30, 2017
Digvijay Boob, Guanghui Lan


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