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ORCIDDigvijay Boob
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2020 – today
- 2024
[j4]Digvijay Boob
, Cristóbal Guzmán:
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems. Math. Program. 204(1): 255-297 (2024)- 2023
- [j3]Digvijay Boob, Qi Deng, Guanghui Lan:
Stochastic first-order methods for convex and nonconvex functional constrained optimization. Math. Program. 197(1): 215-279 (2023) - [c5]Mohammad Khalafi, Digvijay Boob:
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. ICML 2023: 16250-16270 - [i10]Digvijay Boob, Qi Deng:
First-order methods for Stochastic Variational Inequality problems with Function Constraints. CoRR abs/2304.04778 (2023) - 2022
- [j2]Digvijay Boob, Santanu S. Dey, Guanghui Lan:
Complexity of training ReLU neural network. Discret. Optim. 44(Part): 100620 (2022) - [i9]Mohammad Khalafi, Digvijay Boob:
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. CoRR abs/2209.04604 (2022) - 2021
- [j1]Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings:
Differentially private synthetic mixed-type data generation for unsupervised learning. Intell. Decis. Technol. 15(4): 779-807 (2021) - [c4]Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings:
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning. IISA 2021: 1-9 - [i8]Digvijay Boob, Cristóbal Guzmán:
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems. CoRR abs/2104.02988 (2021) - 2020
- [c3]Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang:
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. NeurIPS 2020 - [c2]Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang:
Flowless: Extracting Densest Subgraphs Without Flow Computations. WWW 2020: 573-583 - [i7]Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang:
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. CoRR abs/2010.12169 (2020)
2010 – 2019
- 2019
- [c1]Digvijay Boob, Saurabh Sawlani, Di Wang:
Faster width-dependent algorithm for mixed packing and covering LPs. NeurIPS 2019: 15253-15262 - [i6]Digvijay Boob, Qi Deng, Guanghui Lan:
Proximal Point Methods for Optimization with Nonconvex Functional Constraints. CoRR abs/1908.02734 (2019) - [i5]Digvijay Boob, Saurabh Sawlani, Di Wang:
Faster width-dependent algorithm for mixed packing and covering LPs. CoRR abs/1909.12387 (2019) - [i4]Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang:
Flowless: Extracting Densest Subgraphs Without Flow Computations. CoRR abs/1910.07087 (2019) - [i3]Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings:
Differentially Private Mixed-Type Data Generation For Unsupervised Learning. CoRR abs/1912.03250 (2019) - 2018
- [i2]Digvijay Boob, Santanu S. Dey, Guanghui Lan:
Complexity of Training ReLU Neural Network. CoRR abs/1809.10787 (2018) - 2017
- [i1]Digvijay Boob, Guanghui Lan:
Theoretical properties of the global optimizer of two layer neural network. CoRR abs/1710.11241 (2017)
Coauthor Index
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