Digvijay Boob - RankMe

21 papers A* 4Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Level constrained first order methods for function constrained optimization. Math. Program. Digvijay Boob, Qi Deng, Guanghui Lan
2024	J	`jnl`	Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems. Math. Program. Digvijay Boob, Cristóbal Guzmán
2023	A*	`conf`	Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. ICML Mohammad Khalafi, Digvijay Boob
2023	J	`jnl`	First-order methods for Stochastic Variational Inequality problems with Function Constraints. CoRR Digvijay Boob, Qi Deng
2023	J	`jnl`	Stochastic first-order methods for convex and nonconvex functional constrained optimization. Math. Program. Digvijay Boob, Qi Deng, Guanghui Lan
2022	J	`jnl`	Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems. CoRR Mohammad Khalafi, Digvijay Boob
2022	J	`jnl`	Complexity of training ReLU neural network. Discret. Optim. Digvijay Boob, Santanu S. Dey, Guanghui Lan
2021	—	`conf`	Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning. IISA Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
2021	J	`jnl`	Differentially private synthetic mixed-type data generation for unsupervised learning. Intell. Decis. Technol. Uthaipon Tao Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
2021	J	`jnl`	Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems. CoRR Digvijay Boob, Cristóbal Guzmán
2020	A*	`conf`	A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. NeurIPS Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang
2020	J	`jnl`	A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization. CoRR Digvijay Boob, Qi Deng, Guanghui Lan, Yilin Wang
2020	—	`—`	Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms. Digvijay Boob
2020	A*	`conf`	Flowless: Extracting Densest Subgraphs Without Flow Computations. WWW Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
2019	J	`jnl`	Differentially Private Mixed-Type Data Generation For Unsupervised Learning. CoRR Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings
2019	A*	`conf`	Faster width-dependent algorithm for mixed packing and covering LPs. NeurIPS Digvijay Boob, Saurabh Sawlani, Di Wang
2019	J	`jnl`	Faster width-dependent algorithm for mixed packing and covering LPs. CoRR Digvijay Boob, Saurabh Sawlani, Di Wang
2019	J	`jnl`	Flowless: Extracting Densest Subgraphs Without Flow Computations. CoRR Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
2019	J	`jnl`	Proximal Point Methods for Optimization with Nonconvex Functional Constraints. CoRR Digvijay Boob, Qi Deng, Guanghui Lan
2018	J	`jnl`	Complexity of Training ReLU Neural Network. CoRR Digvijay Boob, Santanu S. Dey, Guanghui Lan
2017	J	`jnl`	Theoretical properties of the global optimizer of two layer neural network. CoRR Digvijay Boob, Guanghui Lan