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"

16 / 16 papers shown

Title
Differentiable Clustering with Perturbed Spanning Forests Lawrence Stewart Francis R. Bach Felipe Llinares-López Quentin Berthet 97 11 0 25 May 2023
On Quantum Circuits for Discrete Graphical Models Nico Piatkowski Christa Zoufal 23 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 113 98 0 04 Oct 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 121 58 0 29 Apr 2021
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 97 88 0 15 Jun 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 94 109 0 20 Feb 2020
Approximate Inference via Weighted Rademacher Complexity Jonathan Kuck Ashish Sabharwal Stefano Ermon 65 7 0 27 Jan 2018
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search Stephen Mussmann Daniel Levy Stefano Ermon FedML 59 22 0 11 Jul 2017
Lost Relatives of the Gumbel Trick Matej Balog Nilesh Tripuraneni Zoubin Ghahramani Adrian Weller 85 27 0 13 Jun 2017
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs Raphael Meier Urspeter Knecht Alain Jungo Roland Wiest M. Reyes 42 6 0 01 Mar 2017
A Poisson process model for Monte Carlo Chris J. Maddison 95 22 0 18 Feb 2016
High Dimensional Inference with Random Maximum A-Posteriori Perturbations Tamir Hazan Francesco Orabona Anand D. Sarwate Subhransu Maji Tommi Jaakkola 78 7 0 10 Feb 2016
Multicuts and Perturb & MAP for Probabilistic Graph Clustering Jörg H. Kappes Paul Swoboda Bogdan Savchynskyy Tamir Hazan Christoph Schnörr 30 7 0 09 Jan 2016
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 123 393 0 31 Oct 2014
Training Restricted Boltzmann Machine by Perturbation Siamak Ravanbakhsh Russell Greiner B. Frey 61 3 0 06 May 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations Francesco Orabona Tamir Hazan Anand D. Sarwate Tommi Jaakkola 76 14 0 15 Oct 2013