Sökresultat - "Boob, Digvijay"

Regularized Operator Extrapolation Method For Stochastic Bilevel Variational Inequality Problems

Khalafi, Mohammad, Boob, Digvijay

Optimal Primal-Dual Algorithm with Last iterate Convergence Guarantees for Stochastic Convex Optimization Problems

Boob, Digvijay, Khalafi, Mohammad

Level constrained first order methods for function constrained optimization

Boob, Digvijay^{Aff1, IDs10107024020574_cor1}, Deng, Qi^{Aff2, IDs10107024020574_cor2}, Lan, Guanghui

First-order methods for Stochastic Variational Inequality problems with Function Constraints

Boob, Digvijay, Deng, Qi, Khalafi, Mohammad

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

Tantipongpipat, Uthaipon Tao, Waites, Chris, Boob, Digvijay, Siva, Amaresh Ankit, Cummings, Rachel

2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems

Khalafi, Mohammad, Boob, Digvijay

Level Constrained First Order Methods for Function Constrained Optimization

Boob, Digvijay, Deng, Qi, Lan, Guanghui

Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems

Boob, Digvijay^{Aff1, IDs10107023019535_cor1}, Guzmán, Cristóbal

Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems

Boob, Digvijay, Guzmán, Cristóbal

A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization

Boob, Digvijay, Deng, Qi, Lan, Guanghui, Wang, Yilin

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

Tantipongpipat, Uthaipon, Waites, Chris, Boob, Digvijay, Siva, Amaresh Ankit, Cummings, Rachel

Flowless: Extracting Densest Subgraphs Without Flow Computations

Boob, Digvijay, Gao, Yu, Peng, Richard, Sawlani, Saurabh, Tsourakakis, Charalampos E., Wang, Di, Wang, Junxing

Faster width-dependent algorithm for mixed packing and covering LPs

Boob, Digvijay, Sawlani, Saurabh, Wang, Di

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

Boob, Digvijay, Deng, Qi, Lan, Guanghui

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Stochastic first-order methods for convex and nonconvex functional constrained optimization

Boob, Digvijay, Deng, Qi, Lan, Guanghui^{Aff1, IDs1010702101742y_cor3}

Complexity of Training ReLU Neural Network

Boob, Digvijay, Dey, Santanu S., Lan, Guanghui

Theoretical properties of the global optimizer of two layer neural network

Boob, Digvijay, Lan, Guanghui

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