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Digvijay Boob
Title
Cited by
Cited by
Year
Complexity of training ReLU neural network
D Boob, SS Dey, G Lan
Discrete Optimization 44, 100620, 2022
712022
Stochastic first-order methods for convex and nonconvex functional constrained optimization
D Boob, Q Deng, G Lan
Mathematical Programming 197 (1), 215-279, 2023
682023
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
472020
Theoretical properties of the global optimizer of two layer neural network
D Boob, G Lan
arXiv preprint arXiv:1710.11241, 2017
452017
Differentially private synthetic mixed-type data generation for unsupervised learning
UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings
Intelligent Decision Technologies 15 (4), 779-807, 2021
422021
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems
D Boob, C Guzmán
Mathematical Programming 204 (1), 255-297, 2024
162024
Faster width-dependent algorithm for mixed packing and covering LPs
D Boob, S Sawlani, D Wang
Advances in Neural Information Processing Systems 32, 2019
162019
Proximal point methods for optimization with nonconvex functional constraints
D Boob, Q Deng, G Lan
arXiv preprint arXiv:1908.02734 2, 2019
122019
Level constrained first order methods for function constrained optimization
D Boob, Q Deng, G Lan
Mathematical Programming, 1-61, 2024
92024
A feasible level proximal point method for nonconvex sparse constrained optimization
D Boob, Q Deng, G Lan, Y Wang
Advances in Neural Information Processing Systems 33, 16773-16784, 2020
72020
Accelerated primal-dual methods for convex-strongly-concave saddle point problems
M Khalafi, D Boob
International Conference on Machine Learning, 16250-16270, 2023
52023
First-order methods for Stochastic Variational Inequality problems with Function Constraints
D Boob, Q Deng
arXiv preprint arXiv:2304.04778, 2023
12023
Convex and structured non-convex optimization for modern machine learning: Complexity and algorithms
DP Boob
Georgia Institute of Technology, 2020
12020
Differentially Private Synthetic Data Generation via GANs
D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ...
UnlinkableDataChallenge/round/358/entry/20533, 2018
12018
Private Synthetic Data Generation via GANs (Supporting PDF)
D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ...
2018
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