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. 2011.00355
  4. Cited By
Linear Classifiers that Encourage Constructive Adaptation

Linear Classifiers that Encourage Constructive Adaptation

31 October 2020
Yatong Chen
Jialu Wang
Yang Liu
ArXivPDFHTML

Papers citing "Linear Classifiers that Encourage Constructive Adaptation"

16 / 16 papers shown
Title
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Maayan Ehrenberg
Roy Ganz
Nir Rosenfeld
AAML
58
0
0
17 Jun 2024
Classification Under Strategic Self-Selection
Classification Under Strategic Self-Selection
G. Horowitz
Yonatan Sommer
Moran Koren
Nir Rosenfeld
40
5
0
23 Feb 2024
One-Shot Strategic Classification Under Unknown Costs
One-Shot Strategic Classification Under Unknown Costs
Elan Rosenfeld
Nir Rosenfeld
OffRL
38
8
0
05 Nov 2023
The Risks of Recourse in Binary Classification
The Risks of Recourse in Binary Classification
H. Fokkema
Damien Garreau
T. Erven
FaML
26
4
0
01 Jun 2023
Performative Prediction with Bandit Feedback: Learning through
  Reparameterization
Performative Prediction with Bandit Feedback: Learning through Reparameterization
Yatong Chen
Wei Tang
Chien-Ju Ho
Yang Liu
42
3
0
01 May 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits
  and Risks
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Yilun Zhou
47
0
0
17 Mar 2023
Causal Strategic Classification: A Tale of Two Shifts
Causal Strategic Classification: A Tale of Two Shifts
G. Horowitz
Nir Rosenfeld
OffRL
CML
28
14
0
13 Feb 2023
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
39
15
0
27 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term
  Impact
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan
Yuchen Zeng
Jy-yong Sohn
Ramtin Pedarsani
Kangwook Lee
FaML
37
13
0
13 Oct 2022
Strategic Representation
Strategic Representation
V. Nair
Ganesh Ghalme
Inbal Talgam-Cohen
Nir Rosenfeld
35
6
0
17 Jun 2022
Metric-Fair Classifier Derandomization
Metric-Fair Classifier Derandomization
Jimmy Wu
Yatong Chen
Yang Liu
FaML
63
5
0
15 Jun 2022
Fairness Transferability Subject to Bounded Distribution Shift
Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen
Reilly P. Raab
Jialu Wang
Yang Liu
27
34
0
31 May 2022
Outside the Echo Chamber: Optimizing the Performative Risk
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller
Juan C. Perdomo
Tijana Zrnic
82
97
0
17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient
  Descent
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo
Lexing Ying
James Zou
87
74
0
15 Feb 2021
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
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,092
0
24 Oct 2016
1