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Frank-Wolfe Methods in Probability Space

Frank-Wolfe Methods in Probability Space

11 May 2021
Carson Kent
Jose H. Blanchet
Peter Glynn
ArXiv (abs)PDFHTML

Papers citing "Frank-Wolfe Methods in Probability Space"

8 / 8 papers shown
Deterministic and Stochastic Frank-Wolfe Recursion on Probability Spaces
Deterministic and Stochastic Frank-Wolfe Recursion on Probability Spaces
Di Yu
Shane G. Henderson
R. Pasupathy
156
1
0
29 Jun 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein spaceAnnual Conference Computational Learning Theory (COLT), 2023
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
599
15
0
05 Dec 2023
Minimizing Convex Functionals over Space of Probability Measures via KL
  Divergence Gradient Flow
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Rentian Yao
Linjun Huang
Yun Yang
280
5
0
01 Nov 2023
Nonlinear Distributionally Robust Optimization
Nonlinear Distributionally Robust OptimizationMathematical programming (Math. Program.), 2023
Mohammed Rayyan Sheriff
Peyman Mohajerin Esfahani
275
2
0
05 Jun 2023
Distributionally Robust Optimization via Ball Oracle Acceleration
Distributionally Robust Optimization via Ball Oracle AccelerationNeural Information Processing Systems (NeurIPS), 2022
Y. Carmon
Danielle Hausler
162
14
0
24 Mar 2022
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin DynamicsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
439
78
0
25 Jan 2022
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose H. Blanchet
Karthyek Murthy
Viet Anh Nguyen
201
56
0
04 Aug 2021
Particle Dual Averaging: Optimization of Mean Field Neural Networks with
  Global Convergence Rate Analysis
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate AnalysisNeural Information Processing Systems (NeurIPS), 2020
Atsushi Nitanda
Denny Wu
Taiji Suzuki
447
31
0
31 Dec 2020
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