On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations

29 September 2013

Papers citing "On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations"

7 / 7 papers shown

Title
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 31 1 0 14 Aug 2023
Differentiable Clustering with Perturbed Spanning Forests Lawrence Stewart Francis R. Bach Felipe Llinares-López Quentin Berthet 29 8 0 25 May 2023
On Quantum Circuits for Discrete Graphical Models Nico Piatkowski Christa Zoufal 19 4 0 01 Jun 2022
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 28 94 0 04 Oct 2021
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 36 85 0 15 Jun 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 105 0 20 Feb 2020
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs Raphael Meier Urspeter Knecht Alain Jungo Roland Wiest M. Reyes 21 6 0 01 Mar 2017