| Stochastic first-order methods for convex and nonconvex functional constrained optimization D Boob, Q Deng, G Lan Mathematical Programming 197 (1), 215-279, 2023 | 94 | 2023 |
| Complexity of training ReLU neural network D Boob, SS Dey, G Lan Discrete Optimization 44, 100620, 2022 | 83 | 2022 |
| 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 | 63 | 2020 |
| 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 | 49 | 2021 |
| Theoretical properties of the global optimizer of two layer neural network D Boob, G Lan arXiv preprint arXiv:1710.11241, 2017 | 45 | 2017 |
| Faster width-dependent algorithm for mixed packing and covering LPs D Boob, S Sawlani, D Wang Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems D Boob, C Guzmán Mathematical Programming 204 (1), 255-297, 2024 | 16 | 2024 |
| Level constrained first order methods for function constrained optimization D Boob, Q Deng, G Lan Mathematical Programming, 1-61, 2024 | 15 | 2024 |
| Accelerated primal-dual methods for convex-strongly-concave saddle point problems M Khalafi, D Boob International Conference on Machine Learning, 16250-16270, 2023 | 12 | 2023 |
| Proximal point methods for optimization with nonconvex functional constraints D Boob, Q Deng, G Lan arXiv preprint arXiv:1908.02734 2, 2019 | 12 | 2019 |
| 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 | 9 | 2020 |
| First-order methods for Stochastic Variational Inequality problems with Function Constraints D Boob, Q Deng arXiv preprint arXiv:2304.04778, 2023 | 1 | 2023 |
| Convex and structured non-convex optimization for modern machine learning: Complexity and algorithms DP Boob Georgia Institute of Technology, 2020 | 1 | 2020 |
| Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ... UnlinkableDataChallenge/round/358/entry/20533, 2018 | 1 | 2018 |
| Private Synthetic Data Generation via GANs (Supporting PDF) D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ... | | 2018 |
