Digvijay Boob

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Data Generation

Unsupervised Learning

Constrained Optimization

Top Venues

Discret. Optim.

Publications

Digvijay Boob, Cristóbal Guzmán
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems. Math. Program. 204 (1) (2024)
Digvijay Boob, Qi Deng
First-order methods for Stochastic Variational Inequality problems with Function Constraints. CoRR (2023)
Digvijay Boob, Qi Deng, Guanghui Lan
Stochastic first-order methods for convex and nonconvex functional constrained optimization. Math. Program. 197 (1) (2023)
Mohammad Khalafi, Digvijay Boob
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. ICML (2023)
Mohammad Khalafi, Digvijay Boob
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. CoRR (2022)
Digvijay Boob, Santanu S. Dey, Guanghui Lan
Complexity of training ReLU neural network. Discret. Optim. 44 (Part) (2022)
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) (2021)
Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning. IISA (2021)
Digvijay Boob, Cristóbal Guzmán
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems. CoRR (2021)
Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. NeurIPS (2020)
Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
Flowless: Extracting Densest Subgraphs Without Flow Computations. WWW (2020)
Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. CoRR (2020)
Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
Flowless: Extracting Densest Subgraphs Without Flow Computations. CoRR (2019)
Digvijay Boob, Saurabh Sawlani, Di Wang
Faster width-dependent algorithm for mixed packing and covering LPs. CoRR (2019)
Digvijay Boob, Saurabh Sawlani, Di Wang
Faster width-dependent algorithm for mixed packing and covering LPs. NeurIPS (2019)
Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
Differentially Private Mixed-Type Data Generation For Unsupervised Learning. CoRR (2019)
Digvijay Boob, Qi Deng, Guanghui Lan
Proximal Point Methods for Optimization with Nonconvex Functional Constraints. CoRR (2019)
Digvijay Boob, Santanu S. Dey, Guanghui Lan
Complexity of Training ReLU Neural Network. CoRR (2018)
Digvijay Boob, Guanghui Lan
Theoretical properties of the global optimizer of two layer neural network. CoRR (2017)