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1706.04161
Cited By
Lost Relatives of the Gumbel Trick
13 June 2017
Matej Balog
Nilesh Tripuraneni
Zoubin Ghahramani
Adrian Weller
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ArXiv (abs)
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Papers citing
"Lost Relatives of the Gumbel Trick"
17 / 17 papers shown
Title
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
J. Q. Toledo-Marín
Sebastian Gonzalez
Hao Jia
Ian Lu
Deniz Sogutlu
...
Eric Paquet
R. Melko
Geoffrey C. Fox
M. Swiatlowski
W. Fedorko
AI4CE
75
1
0
30 Oct 2024
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Sangwoo Shin
H. Hino
78
0
0
02 Aug 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees
Jinzhao Li
Nan Jiang
Yexiang Xue
58
1
0
16 Sep 2023
How Bad is Top-
K
K
K
Recommendation under Competing Content Creators?
Fan Yao
Chuanhao Li
Denis Nekipelov
Hongning Wang
Haifeng Xu
95
27
0
03 Feb 2023
Differentially Private Top-k Selection via Canonical Lipschitz Mechanism
Michael Shekelyan
Grigorios Loukides
61
4
0
31 Jan 2022
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
CML
31
6
0
21 Jul 2020
Federating Recommendations Using Differentially Private Prototypes
Mónica Ribero
Jette Henderson
Sinead Williamson
H. Vikalo
FedML
49
39
0
01 Mar 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
Black-Box Optimization with Local Generative Surrogates
S. Shirobokov
V. Belavin
Michael Kagan
Andrey Ustyuzhanin
A. G. Baydin
40
3
0
11 Feb 2020
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
144
223
0
10 Feb 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski
Gabriel Loaiza-Ganem
John P. Cunningham
105
30
0
19 Dec 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover
Eric Wang
Aaron Zweig
Stefano Ermon
88
174
0
21 Mar 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
W. Kool
H. V. Hoof
Max Welling
131
220
0
14 Mar 2019
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
112
272
0
23 Feb 2018
Approximate Inference via Weighted Rademacher Complexity
Jonathan Kuck
Ashish Sabharwal
Stefano Ermon
62
7
0
27 Jan 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman
Gonzalo E. Mena
H. Cooper
Liam Paninski
John P. Cunningham
77
51
0
26 Oct 2017
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Tamir Hazan
Francesco Orabona
Anand D. Sarwate
Subhransu Maji
Tommi Jaakkola
75
7
0
10 Feb 2016
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