Optimistic Distributionally Robust Optimization for Nonparametric
Likelihood Approximation

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

23 October 2019

Viet Anh Nguyen

Soroosh Shafieezadeh-Abadeh

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Papers citing "Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation"

11 / 11 papers shown

Title
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 182 220 0 09 May 2023
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 64 395 0 23 Aug 2019
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 235 2,151 0 01 Mar 2018
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 305 4,812 0 04 Jan 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 229 1,517 0 08 Jun 2015
Expectation Propagation for approximate Bayesian inference T. Minka 137 1,909 0 10 Jan 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 265 2,628 0 29 Jun 2012
Bayesian computation via empirical likelihood Kerrie Mengersen Pierre Pudlo Christian P. Robert 77 83 0 25 May 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,449 0 12 Dec 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 171 1,625 0 21 Dec 2009
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems Tina Toni David Welch N. Strelkowa Andreas Ipsen M. Stumpf 261 1,550 0 14 Jan 2009