ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.13025
  4. Cited By
Transport-based Counterfactual Models

Transport-based Counterfactual Models

30 August 2021
Lucas de Lara
Alberto González Sanz
Nicholas M. Asher
Laurent Risser
Jean-Michel Loubes
ArXivPDFHTML

Papers citing "Transport-based Counterfactual Models"

13 / 13 papers shown
Title
A primer on optimal transport for causal inference with observational data
Florian F Gunsilius
OT
CML
82
0
0
10 Mar 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients
Learning with Differentially Private (Sliced) Wasserstein Gradients
David Rodríguez-Vítores
Clément Lalanne
Jean-Michel Loubes
FedML
46
0
0
03 Feb 2025
Optimal transport and Wasserstein distances for causal models
Optimal transport and Wasserstein distances for causal models
Patrick Cheridito
Stephan Eckstein
OT
40
7
0
24 Mar 2023
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
26
0
0
29 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
39
3
0
23 Sep 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans
  and divergences
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
22
22
0
15 Jul 2022
An improved central limit theorem and fast convergence rates for
  entropic transportation costs
An improved central limit theorem and fast convergence rates for entropic transportation costs
E. del Barrio
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
34
32
0
19 Apr 2022
Selection, Ignorability and Challenges With Causal Fairness
Selection, Ignorability and Challenges With Causal Fairness
Jake Fawkes
R. Evans
Dino Sejdinovic
86
19
0
28 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair
  estimation using Instrumental Variables
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables
S. Centorrino
J. Florens
Jean-Michel Loubes
FaML
20
1
0
16 Feb 2022
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
89
105
0
24 Sep 2021
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear
  Difference-in-Differences
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
William Torous
F. Gunsilius
Philippe Rigollet
OT
55
15
0
12 Aug 2021
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
26
164
0
20 Oct 2020
On the Fairness of Causal Algorithmic Recourse
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
FaML
80
82
0
13 Oct 2020
1