Digvijay Boob

Orcid: 0000-0002-4219-4849

According to our database1, Digvijay Boob authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems.
Math. Program., March, 2024

2023
Stochastic first-order methods for convex and nonconvex functional constrained optimization.
Math. Program., January, 2023

First-order methods for Stochastic Variational Inequality problems with Function Constraints.
CoRR, 2023

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems.
Proceedings of the International Conference on Machine Learning, 2023

2022
Complexity of training ReLU neural network.
Discret. Optim., 2022

2021
Differentially private synthetic mixed-type data generation for unsupervised learning.
Intell. Decis. Technol., 2021

2020
Flowless: Extracting Densest Subgraphs Without Flow Computations.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Differentially Private Mixed-Type Data Generation For Unsupervised Learning.
CoRR, 2019

Proximal Point Methods for Optimization with Nonconvex Functional Constraints.
CoRR, 2019

Faster width-dependent algorithm for mixed packing and covering LPs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Theoretical properties of the global optimizer of two layer neural network.
CoRR, 2017


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