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Differentiable Ranks and Sorting using Optimal Transport

Differentiable Ranks and Sorting using Optimal Transport

28 May 2019
Marco Cuturi
O. Teboul
Jean-Philippe Vert
    OT
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Papers citing "Differentiable Ranks and Sorting using Optimal Transport"

19 / 19 papers shown
Title
Learning Cascade Ranking as One Network
Learning Cascade Ranking as One Network
Yunli Wang
Zhenru Zhang
Ziyi Wang
Zhiyong Yang
Yunshui Li
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
77
0
0
12 Mar 2025
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
Tian Guo
Chen Chen
Hui Yuan
Xiaolong Mao
R. Hamzaoui
Junhui Hou
3DPC
66
0
0
18 Jan 2025
Conformal Risk Minimization with Variance Reduction
Conformal Risk Minimization with Variance Reduction
Sima Noorani
Orlando Romero
Nicolò Dal Fabbro
Hamed Hassani
George Pappas
208
3
0
03 Nov 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang
Luca Carlone
3DH
205
1
0
27 May 2024
Wasserstein Fair Classification
Wasserstein Fair Classification
Ray Jiang
Aldo Pacchiano
T. Stepleton
Heinrich Jiang
Silvia Chiappa
62
177
0
28 Jul 2019
Conformalized Quantile Regression
Conformalized Quantile Regression
Yaniv Romano
Evan Patterson
Emmanuel J. Candès
441
610
0
08 May 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover
Eric Wang
Aaron Zweig
Stefano Ermon
53
173
0
21 Mar 2019
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
199
2,143
0
01 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
72
270
0
23 Feb 2018
Smooth Loss Functions for Deep Top-k Classification
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada
Andrew Zisserman
M. P. Kumar
46
118
0
21 Feb 2018
Robust machine learning by median-of-means : theory and practice
Robust machine learning by median-of-means : theory and practice
Guillaume Lecué
M. Lerasle
OOD
158
156
0
28 Nov 2017
Supervised Quantile Normalisation
Supervised Quantile Normalisation
Marine Le Morvan
Jean-Philippe Vert
33
6
0
01 Jun 2017
Regularization, sparse recovery, and median-of-means tournaments
Regularization, sparse recovery, and median-of-means tournaments
Gábor Lugosi
S. Mendelson
62
47
0
15 Jan 2017
Wasserstein Discriminant Analysis
Wasserstein Discriminant Analysis
Rémi Flamary
Marco Cuturi
Nicolas Courty
A. Rakotomamonjy
80
103
0
29 Aug 2016
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
39
160
0
10 Nov 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
183
1,984
0
11 Dec 2014
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
86
740
0
16 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
197
4,251
0
04 Jun 2013
Ranking via Sinkhorn Propagation
Ranking via Sinkhorn Propagation
Ryan P. Adams
R. Zemel
90
147
0
09 Jun 2011
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