Complexity of training relu neural network D Boob, SS Dey, G Lan Discrete Optimization, 100620, 2020 | 36 | 2020 |
Theoretical properties of the global optimizer of two layer neural network D Boob, G Lan arXiv preprint arXiv:1710.11241, 2017 | 36 | 2017 |
Stochastic first-order methods for convex and nonconvex functional constrained optimization D Boob, Q Deng, G Lan Mathematical Programming, 1-65, 2022 | 26 | 2022 |
Differentially private mixed-type data generation for unsupervised learning U Tantipongpipat, C Waites, D Boob, A Siva, R Cummings | 17 | 2019 |
Proximal point methods for optimization with nonconvex functional constraints D Boob, Q Deng, G Lan | 11 | 2019 |
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 | 10 | 2020 |
Faster width-dependent algorithm for mixed packing and covering LPs D Boob, S Sawlani, D Wang Advances in Neural Information Processing Systems 32, 2019 | 6 | 2019 |
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems D Boob, C Guzmán arXiv preprint arXiv:2104.02988, 2021 | 3 | 2021 |
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 | 3 | 2020 |
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 | 1 | 2021 |
Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ... | 1 | |
Level Constrained First Order Methods for Function Constrained Optimization D Boob, Q Deng, G Lan arXiv preprint arXiv:2205.08011, 2022 | | 2022 |
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 |