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. 2106.12529
  4. Cited By
Who Leads and Who Follows in Strategic Classification?

Who Leads and Who Follows in Strategic Classification?

23 June 2021
Tijana Zrnic
Eric Mazumdar
S. Shankar Sastry
Michael I. Jordan
ArXivPDFHTML

Papers citing "Who Leads and Who Follows in Strategic Classification?"

18 / 18 papers shown
Title
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
Chara Podimata
54
0
0
08 May 2025
Microfoundation Inference for Strategic Prediction
Microfoundation Inference for Strategic Prediction
Daniele Bracale
Subha Maity
Felipe Maia Polo
Seamus Somerstep
Moulinath Banerjee
Yuekai Sun
117
0
0
13 Nov 2024
Parameter-Free Algorithms for Performative Regret Minimization under
  Decision-Dependent Distributions
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
Sungwoo Park
Junyeop Kwon
Byeongnoh Kim
Suhyun Chae
Jeeyong Lee
Dabeen Lee
29
0
0
23 Feb 2024
Strategic Usage in a Multi-Learner Setting
Strategic Usage in a Multi-Learner Setting
Eliot Shekhtman
Sarah Dean
29
2
0
29 Jan 2024
Strategic Evaluation: Subjects, Evaluators, and Society
Strategic Evaluation: Subjects, Evaluators, and Society
Benjamin Laufer
Jon Kleinberg
Karen Levy
Helen Nissenbaum
16
3
0
05 Oct 2023
Stackelberg Batch Policy Learning
Stackelberg Batch Policy Learning
Wenzhuo Zhou
Annie Qu
OffRL
27
0
0
28 Sep 2023
Plug-in Performative Optimization
Plug-in Performative Optimization
Licong Lin
Tijana Zrnic
27
11
0
30 May 2023
Performative Federated Learning: A Solution to Model-Dependent and
  Heterogeneous Distribution Shifts
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Kun Jin
Tongxin Yin
Zhong Chen
Zeyu Sun
Xueru Zhang
Yang Liu
Mingyan D. Liu
OOD
FedML
15
6
0
08 May 2023
Fundamental Bounds on Online Strategic Classification
Fundamental Bounds on Online Strategic Classification
Saba Ahmadi
Avrim Blum
Kunhe Yang
17
10
0
23 Feb 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
Kai Hsu
D. Nguyen
J. F. Fisac
23
30
0
06 Dec 2022
A Note on Zeroth-Order Optimization on the Simplex
A Note on Zeroth-Order Optimization on the Simplex
Tijana Zrnic
Eric Mazumdar
24
0
0
02 Aug 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
32
12
0
31 May 2022
Performative Power
Performative Power
Moritz Hardt
Meena Jagadeesan
Celestine Mendler-Dünner
19
35
0
31 Mar 2022
Generalized Strategic Classification and the Case of Aligned Incentives
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon
Nir Rosenfeld
19
26
0
09 Feb 2022
Outside the Echo Chamber: Optimizing the Performative Risk
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller
Juan C. Perdomo
Tijana Zrnic
76
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 Y. Zou
81
74
0
15 Feb 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
136
1,198
0
16 Aug 2016
Kernel-based methods for bandit convex optimization
Kernel-based methods for bandit convex optimization
Sébastien Bubeck
Ronen Eldan
Y. Lee
78
163
0
11 Jul 2016
1