Theoretical properties of the global optimizer of two layer neural network. - Digvijay Boob; Guanghui Lan (CoRR, 2017)

Faster width-dependent algorithm for mixed packing and covering LPs. - Digvijay Boob; Saurabh Sawlani; Di Wang (NeurIPS, 2019)

Proximal Point Methods for Optimization with Nonconvex Functional Constraints. - Digvijay Boob; Qi Deng; Guanghui Lan (CoRR, 2019)

Differentially Private Mixed-Type Data Generation For Unsupervised Learning. - Uthaipon Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (CoRR, 2019)

A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. - Digvijay Boob; Qi Deng; Guanghui Lan; Yilin Wang (NeurIPS, 2020)

Flowless: Extracting Densest Subgraphs Without Flow Computations. - Digvijay Boob; Yu Gao 001; Richard Peng; Saurabh Sawlani; Charalampos E. Tsourakakis; Di Wang 005; Junxing Wang (WWW, 2020)

Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms. - Digvijay Boob (2020)

Differentially private synthetic mixed-type data generation for unsupervised learning. - Uthaipon Tao Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (Intell. Decis. Technol., 2021)

Complexity of training ReLU neural network. - Digvijay Boob; Santanu S. Dey; Guanghui Lan (Discret. Optim., 2022)

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. - Mohammad Khalafi; Digvijay Boob (ICML, 2023)

First-order methods for Stochastic Variational Inequality problems with Function Constraints. - Digvijay Boob; Qi Deng (CoRR, 2023)

Stochastic first-order methods for convex and nonconvex functional constrained optimization. - Digvijay Boob; Qi Deng; Guanghui Lan (Math. Program., 2023)

Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems. - Digvijay Boob; Cristóbal Guzmán (Math. Program., 2024)

Level constrained first order methods for function constrained optimization. - Digvijay Boob; Qi Deng; Guanghui Lan (Math. Program., 2025)