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Performative Prediction in a Stateful World
v1v2v3 (latest)

Performative Prediction in a Stateful World

8 November 2020
Gavin Brown
Shlomi Hod
Iden Kalemaj
ArXiv (abs)PDFHTML

Papers citing "Performative Prediction in a Stateful World"

50 / 62 papers shown
Title
The Decoupled Risk Landscape in Performative Prediction
The Decoupled Risk Landscape in Performative Prediction
Javier Sanguino
T. Kehrenberg
Jose A. Lozano
Novi Quadrianto
12
0
0
10 Jun 2025
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li
Baiting Chen
Yuzhen Mao
Qi Lei
Zhun Deng
31
0
0
30 May 2025
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
69
1
0
12 May 2025
On Corruption-Robustness in Performative Reinforcement Learning
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
202
2
0
08 May 2025
Independent Learning in Performative Markov Potential Games
Independent Learning in Performative Markov Potential Games
Rilind Sahitaj
Paulius Sasnauskas
Yiğit Yalın
Debmalya Mandal
Goran Radanović
85
0
0
29 Apr 2025
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
Zhiyu He
S. Bolognani
Florian Dorfler
Michael Muehlebach
105
0
0
10 Mar 2025
Evolutionary Prediction Games
Evolutionary Prediction Games
Eden Saig
Nir Rosenfeld
121
0
0
05 Mar 2025
Policy Design for Two-sided Platforms with Participation Dynamics
Policy Design for Two-sided Platforms with Participation Dynamics
Haruka Kiyohara
Fan Yao
Sarah Dean
183
2
0
03 Feb 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter
Georg Krempl
Sergey Dragomiretskiy
Tineke Jelsma
Arno Siebes
177
0
0
13 Dec 2024
Tight Lower Bounds and Improved Convergence in Performative Prediction
Tight Lower Bounds and Improved Convergence in Performative Prediction
Pedram Khorsandi
Rushil Gupta
Mehrnaz Mofakhami
Simon Lacoste-Julien
Gauthier Gidel
163
3
0
04 Dec 2024
Integrating Expert Judgment and Algorithmic Decision Making: An
  Indistinguishability Framework
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
Rohan Alur
Loren Laine
Darrick K. Li
Dennis L. Shung
Manish Raghavan
Devavrat Shah
74
2
0
11 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
67
0
0
06 Oct 2024
Performative Prediction on Games and Mechanism Design
Performative Prediction on Games and Mechanism Design
António Góis
Mehrnaz Mofakhami
Fernando P. Santos
Simon Lacoste-Julien
Gauthier Gidel
58
1
0
09 Aug 2024
Performative Debias with Fair-exposure Optimization Driven by Strategic
  Agents in Recommender Systems
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
Zhichen Xiang
Hongke Zhao
Chuang Zhao
Ming He
Jianping Fan
47
1
0
25 Jun 2024
Addressing Polarization and Unfairness in Performative Prediction
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin
Tian Xie
Yang Liu
Xueru Zhang
72
3
0
24 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the
  Impossibility of Group Fairness
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
Seamus Somerstep
Yaácov Ritov
Yuekai Sun
FaML
86
5
0
30 May 2024
Learning In Reverse Causal Strategic Environments With Ramifications on
  Two Sided Markets
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets
Seamus Somerstep
Yuekai Sun
Yaácov Ritov
87
4
0
20 Apr 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
76
0
0
23 Feb 2024
Performative Reinforcement Learning in Gradually Shifting Environments
Performative Reinforcement Learning in Gradually Shifting Environments
Ben Rank
Stelios Triantafyllou
Debmalya Mandal
Goran Radanović
OffRL
111
6
0
15 Feb 2024
Human Expertise in Algorithmic Prediction
Human Expertise in Algorithmic Prediction
Rohan Alur
Manish Raghavan
Devavrat Shah
49
1
0
01 Feb 2024
Adaptive Discounting of Training Time Attacks
Adaptive Discounting of Training Time Attacks
Ridhima Bector
Abhay M. S. Aradhya
Chai Quek
Zinovi Rabinovich
AAML
78
0
0
05 Jan 2024
Performative Prediction: Past and Future
Performative Prediction: Past and Future
Moritz Hardt
Celestine Mendler-Dünner
157
26
0
25 Oct 2023
Performative Time-Series Forecasting
Performative Time-Series Forecasting
Zhiyuan Zhao
Alexander Rodríguez
B. Prakash
B. A. Prakash
AI4TS
82
5
0
09 Oct 2023
Zero-Regret Performative Prediction Under Inequality Constraints
Zero-Regret Performative Prediction Under Inequality Constraints
Wenjing Yan
Xuanyu Cao
71
7
0
22 Sep 2023
Contextual Dynamic Pricing with Strategic Buyers
Contextual Dynamic Pricing with Strategic Buyers
Pang-Tung Liu
Zhuoran Yang
Zhaoran Wang
W. Sun
106
5
0
08 Jul 2023
The Risks of Recourse in Binary Classification
The Risks of Recourse in Binary Classification
H. Fokkema
Damien Garreau
T. Erven
FaML
77
5
0
01 Jun 2023
Plug-in Performative Optimization
Plug-in Performative Optimization
Licong Lin
Tijana Zrnic
99
12
0
30 May 2023
Algorithmic Censoring in Dynamic Learning Systems
Algorithmic Censoring in Dynamic Learning Systems
Jennifer Chien
Margaret E. Roberts
Berk Ustun
72
6
0
15 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
OODFedML
53
7
0
08 May 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
91
6
0
01 May 2023
Performative Prediction with Neural Networks
Performative Prediction with Neural Networks
Mehrnaz Mofakhami
Ioannis Mitliagkas
Gauthier Gidel
124
19
0
14 Apr 2023
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Tom Yan
Shantanu Gupta
Zachary Chase Lipton
CML
61
1
0
14 Feb 2023
Performative Recommendation: Diversifying Content via Strategic
  Incentives
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat
Nir Rosenfeld
75
9
0
08 Feb 2023
Online Convex Optimization with Unbounded Memory
Online Convex Optimization with Unbounded Memory
Raunak Kumar
Sarah Dean
Robert D. Kleinberg
97
6
0
18 Oct 2022
Making Decisions under Outcome Performativity
Making Decisions under Outcome Performativity
Michael P. Kim
Juan C. Perdomo
87
21
0
04 Oct 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
119
48
0
08 Sep 2022
Optimizing the Performative Risk under Weak Convexity Assumptions
Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
65
5
0
02 Sep 2022
Strategic Decision-Making in the Presence of Information Asymmetry:
  Provably Efficient RL with Algorithmic Instruments
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments
Mengxin Yu
Zhuoran Yang
Jianqing Fan
OffRL
120
9
0
23 Aug 2022
Long Term Fairness for Minority Groups via Performative Distributionally
  Robust Optimization
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization
Liam Peet-Paré
N. Hegde
Alona Fyshe
FaML
47
4
0
12 Jul 2022
Stochastic Approximation with Decision-Dependent Distributions:
  Asymptotic Normality and Optimality
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality
Joshua Cutler
Mateo Díaz
Dmitriy Drusvyatskiy
96
7
0
09 Jul 2022
Performative Reinforcement Learning
Performative Reinforcement Learning
Debmalya Mandal
Stelios Triantafyllou
Goran Radanović
73
20
0
30 Jun 2022
Emergent specialization from participation dynamics and multi-learner
  retraining
Emergent specialization from participation dynamics and multi-learner retraining
Sarah Dean
Mihaela Curmei
Lillian J. Ratliff
Jamie Morgenstern
Maryam Fazel
106
6
0
06 Jun 2022
Predictor-corrector algorithms for stochastic optimization under gradual
  distribution shift
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Subha Maity
Debarghya Mukherjee
Moulinath Banerjee
Yuekai Sun
OOD
92
5
0
26 May 2022
Preference Dynamics Under Personalized Recommendations
Preference Dynamics Under Personalized Recommendations
Sarah Dean
Jamie Morgenstern
137
35
0
25 May 2022
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic
  Environments
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
Mitas Ray
Dmitriy Drusvyatskiy
Maryam Fazel
Lillian J. Ratliff
42
33
0
08 Apr 2022
Performative Power
Performative Power
Moritz Hardt
Meena Jagadeesan
Celestine Mendler-Dünner
70
40
0
31 Mar 2022
Regret Minimization with Performative Feedback
Regret Minimization with Performative Feedback
Meena Jagadeesan
Tijana Zrnic
Celestine Mendler-Dünner
97
36
0
01 Feb 2022
Multi-agent Performative Prediction: From Global Stability and
  Optimality to Chaos
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
Georgios Piliouras
Fang-Yi Yu
105
35
0
25 Jan 2022
Multiplayer Performative Prediction: Learning in Decision-Dependent
  Games
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
Adhyyan Narang
Evan Faulkner
Dmitriy Drusvyatskiy
Maryam Fazel
Lillian J. Ratliff
76
43
0
10 Jan 2022
Stochastic Saddle Point Problems with Decision-Dependent Distributions
Stochastic Saddle Point Problems with Decision-Dependent Distributions
Killian Wood
E. Dall’Anese
62
19
0
07 Jan 2022
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