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Gilles Pagès
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
Finite-sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes
Stochastic Approximation-based algorithms, when the Monte (...) - Fort - Workshop 2 - CEB T1 2019
Seminar 7: Stochastic approximation
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
A Tutorial on Finite-Sample Guarantees of Contractive Stochastic Approximation With...
STOCHASTIC Gradient Descent (in 3 minutes)
Research in Options 2017 - Gilles Pagès (Univ. Pierre et Marie Curie)
Approximation Algorithms for Discrete Stochastic Optimization Problems
OWOS: Jonathan Eckstein - (Asynchronous) Projective Hedging for Convex Stochastic Programing
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Last Updated: August 23, 2026
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