Digvijay Boob
Title
Cited by
Cited by
Year
Theoretical properties of the global optimizer of two layer neural network
D Boob, G Lan
arXiv preprint arXiv:1710.11241, 2017
342017
Complexity of training relu neural network
D Boob, SS Dey, G Lan
Discrete Optimization, 100620, 2020
282020
Stochastic first-order methods for convex and nonconvex functional constrained optimization
D Boob, Q Deng, G Lan
arXiv preprint arXiv:1908.02734, 2019
192019
Differentially private mixed-type data generation for unsupervised learning
U Tantipongpipat, C Waites, D Boob, A Siva, R Cummings
122019
Proximal point methods for optimization with nonconvex functional constraints
D Boob, Q Deng, G Lan
102019
Flowless: Extracting densest subgraphs without flow computations
D Boob, Y Gao, R Peng, S Sawlani, C Tsourakakis, D Wang, J Wang
Proceedings of The Web Conference 2020, 573-583, 2020
32020
Differentially private synthetic mixed-type data generation for unsupervised learning
UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings
2021 12th International Conference on Information, Intelligence, Systems …, 2021
12021
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
D Boob, C Guzmán
arXiv preprint arXiv:2104.02988, 2021
12021
Faster width-dependent algorithm for mixed packing and covering LPs
D Boob, S Sawlani, D Wang
arXiv preprint arXiv:1909.12387, 2019
12019
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
D Boob, Q Deng, G Lan, Y Wang
arXiv preprint arXiv:2010.12169, 2020
2020
Convex and Structured Nonconvex Optimization for Modern Machine Learning: Complexity and Algorithms
DP Boob
Georgia Institute of Technology, 2020
2020
Private Synthetic Data Generation via GANs (Supporting PDF)
D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ...
2018
Differentially Private Synthetic Data Generation via GANs
D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ...
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