Stochastic Frank-Wolfe Methods for Nonconvex Optimization

27 July 2016

Papers citing "Stochastic Frank-Wolfe Methods for Nonconvex Optimization"

22 / 22 papers shown

Title
A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotłowski Marek Wydmuch Erik Schultheis Rohit Babbar Krzysztof Dembczyñski 46 0 0 20 Jun 2024
EsaCL: Efficient Continual Learning of Sparse Models Weijieying Ren V. Honavar CLL 22 3 0 11 Jan 2024
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features Aleksandr Beznosikov David Dobre Gauthier Gidel 25 5 0 23 Apr 2023
Variance-Reduced Conservative Policy Iteration Naman Agarwal Brian Bullins Karan Singh 24 3 0 12 Dec 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 26 13 0 26 May 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 29 9 0 24 May 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization Gideon Dresdner Maria-Luiza Vladarean Olivier Fercoq Francesco Locatello V. Cevher A. Yurtsever 18 1 0 26 Feb 2022
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures Anshumali Shrivastava Zhao-quan Song Zhaozhuo Xu 27 28 0 30 Nov 2021
Shift of Pairwise Similarities for Data Clustering Morteza Haghir Chehreghani 19 4 0 25 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings Jan Macdonald Mathieu Besançon Sebastian Pokutta 32 11 0 15 Oct 2021
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians A. Berahas Frank E. Curtis Michael OÑeill Daniel P. Robinson 11 31 0 24 Jun 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 27 14 0 22 Feb 2021
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms Carl Johnell M. Chehreghani 13 1 0 22 Jul 2020
Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization A. Berahas Frank E. Curtis Daniel P. Robinson Baoyu Zhou 13 51 0 20 Jul 2020
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 35 185 0 05 Jun 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
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization Nhan H. Pham Lam M. Nguyen Dzung Phan Quoc Tran-Dinh 11 139 0 15 Feb 2019
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization Aryan Mokhtari Hamed Hassani Amin Karbasi 21 111 0 24 Apr 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya Ravi Tuan Dinh Vishnu Suresh Lokhande Vikas Singh AI4CE 31 22 0 17 Mar 2018
A Siamese Deep Forest Lev V. Utkin M. Ryabinin 13 67 0 27 Apr 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 84 736 0 19 Mar 2014