Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap

5 November 2017

Papers citing "Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap"

12 / 12 papers shown

Title
A Unified Approach for Maximizing Continuous DR-submodular Functions M. Pedramfar Christopher J. Quinn Vaneet Aggarwal 19 7 0 26 May 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 38 10 0 20 Feb 2023
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 31 9 0 24 May 2022
Improved Regret Bounds for Online Submodular Maximization Omid Sadeghi P. Raut Maryam Fazel 24 4 0 15 Jun 2021
Continuous Submodular Maximization: Beyond DR-Submodularity Moran Feldman Amin Karbasi 16 5 0 21 Jun 2020
One Sample Stochastic Frank-Wolfe Mingrui Zhang Zebang Shen Aryan Mokhtari Hamed Hassani Amin Karbasi 16 57 0 10 Oct 2019
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free Mingrui Zhang Lin Chen Aryan Mokhtari Hamed Hassani Amin Karbasi 16 8 0 17 Feb 2019
Unconstrained Submodular Maximization with Constant Adaptive Complexity Lin Chen Moran Feldman Amin Karbasi 25 35 0 15 Nov 2018
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization Yibo Jacky Zhang Chao Qian K. Tang 21 0 0 16 Oct 2018
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points Krishnakumar Balasubramanian Saeed Ghadimi ODL 22 100 0 17 Sep 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization Rad Niazadeh Tim Roughgarden Joshua R. Wang 16 51 0 24 May 2018
Distributionally Robust Submodular Maximization Matthew Staib Bryan Wilder Stefanie Jegelka 31 35 0 14 Feb 2018