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Performative Prediction

Performative Prediction

16 February 2020
Juan C. Perdomo
Tijana Zrnic
Celestine Mendler-Dünner
Moritz Hardt
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Papers citing "Performative Prediction"

41 / 191 papers shown
Title
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
40
34
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
18
42
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
19
18
0
07 Jan 2022
How to Learn when Data Gradually Reacts to Your Model
How to Learn when Data Gradually Reacts to Your Model
Zachary Izzo
James Zou
Lexing Ying
OOD
14
24
0
13 Dec 2021
Neural Pseudo-Label Optimism for the Bank Loan Problem
Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano
Shaun Singh
Edward Chou
Alexander C. Berg
Jakob N. Foerster
16
7
0
03 Dec 2021
Dynamic Inference
Dynamic Inference
Aolin Xu
28
0
0
29 Nov 2021
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
30
7
0
25 Oct 2021
Bayesian logistic regression for online recalibration and revision of
  risk prediction models with performance guarantees
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Jean Feng
Alexej Gossmann
B. Sahiner
R. Pirracchio
OOD
24
5
0
13 Oct 2021
Stacking interventions for equitable outcomes
Stacking interventions for equitable outcomes
J. Liley
11
2
0
08 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction
Sample-Efficient Safety Assurances using Conformal Prediction
Rachel Luo
Shengjia Zhao
Jonathan Kuck
Boris Ivanovic
Silvio Savarese
Edward Schmerling
Marco Pavone
58
56
0
28 Sep 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
Stochastic Optimization under Distributional Drift
Stochastic Optimization under Distributional Drift
Joshua Cutler
Dmitriy Drusvyatskiy
Zaïd Harchaoui
6
16
0
16 Aug 2021
Fairness Through Counterfactual Utilities
Fairness Through Counterfactual Utilities
Jack Blandin
Ian A. Kash
FaML
22
2
0
11 Aug 2021
Visualization Equilibrium
Visualization Equilibrium
Paul Kayongo
Glenn Sun
Jason D. Hartline
Jessica Hullman
FAtt
17
4
0
10 Aug 2021
Model Transferability With Responsive Decision Subjects
Model Transferability With Responsive Decision Subjects
Yatong Chen
Zeyu Tang
Anton van den Hengel
Yang Liu
38
10
0
13 Jul 2021
Strategic Instrumental Variable Regression: Recovering Causal
  Relationships From Strategic Responses
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Keegan Harris
Daniel Ngo
Logan Stapleton
Hoda Heidari
Zhiwei Steven Wu
14
32
0
12 Jul 2021
Approximate Regions of Attraction in Learning with Decision-Dependent
  Distributions
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
Roy Dong
Heling Zhang
Lillian J. Ratliff
4
11
0
30 Jun 2021
The Values Encoded in Machine Learning Research
The Values Encoded in Machine Learning Research
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
27
274
0
29 Jun 2021
Alternative Microfoundations for Strategic Classification
Alternative Microfoundations for Strategic Classification
Meena Jagadeesan
Celestine Mendler-Dünner
Moritz Hardt
22
45
0
24 Jun 2021
Who Leads and Who Follows in Strategic Classification?
Who Leads and Who Follows in Strategic Classification?
Tijana Zrnic
Eric Mazumdar
S. Shankar Sastry
Michael I. Jordan
26
50
0
23 Jun 2021
Disinformation, Stochastic Harm, and Costly Effort: A Principal-Agent
  Analysis of Regulating Social Media Platforms
Disinformation, Stochastic Harm, and Costly Effort: A Principal-Agent Analysis of Regulating Social Media Platforms
Shehroz S. Khan
J. R. Wright
17
1
0
17 Jun 2021
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to
  Decision-Dependent Risk Minimization
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization
C. Maheshwari
Chih-Yuan Chiu
Eric Mazumdar
S. Shankar Sastry
Lillian J. Ratliff
11
23
0
16 Jun 2021
Stateful Strategic Regression
Stateful Strategic Regression
Keegan Harris
Hoda Heidari
Zhiwei Steven Wu
22
29
0
07 Jun 2021
Strategic Classification Made Practical
Strategic Classification Made Practical
Sagi Levanon
Nir Rosenfeld
40
55
0
02 Mar 2021
Information Discrepancy in Strategic Learning
Information Discrepancy in Strategic Learning
Yahav Bechavod
Chara Podimata
Zhiwei Steven Wu
Juba Ziani
39
45
0
01 Mar 2021
Strategic Classification in the Dark
Strategic Classification in the Dark
Ganesh Ghalme
V. Nair
Itay Eilat
Inbal Talgam-Cohen
Nir Rosenfeld
12
57
0
23 Feb 2021
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 Zou
84
74
0
15 Feb 2021
Treatment Allocation with Strategic Agents
Treatment Allocation with Strategic Agents
Evan Munro
15
6
0
12 Nov 2020
Performative Prediction in a Stateful World
Performative Prediction in a Stateful World
Gavin Brown
Shlomi Hod
Iden Kalemaj
19
81
0
08 Nov 2020
Linear Classifiers that Encourage Constructive Adaptation
Linear Classifiers that Encourage Constructive Adaptation
Yatong Chen
Jialu Wang
Yang Liu
31
16
0
31 Oct 2020
Model updating after interventions paradoxically introduces bias
Model updating after interventions paradoxically introduces bias
J. Liley
S. Emerson
Bilal A. Mateen
Catalina A Vallejos
L. Aslett
Sebastian J. Vollmer
8
21
0
22 Oct 2020
Probabilistic Machine Learning for Healthcare
Probabilistic Machine Learning for Healthcare
Irene Y. Chen
Shalmali Joshi
Marzyeh Ghassemi
Rajesh Ranganath
OOD
6
51
0
23 Sep 2020
From Predictions to Decisions: Using Lookahead Regularization
From Predictions to Decisions: Using Lookahead Regularization
Nir Rosenfeld
Sophie Hilgard
S. Ravindranath
David C. Parkes
14
20
0
20 Jun 2020
Individual Calibration with Randomized Forecasting
Individual Calibration with Randomized Forecasting
Shengjia Zhao
Tengyu Ma
Stefano Ermon
13
57
0
18 Jun 2020
Stochastic Optimization for Performative Prediction
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
6
113
0
12 Jun 2020
Learning the Truth From Only One Side of the Story
Learning the Truth From Only One Side of the Story
Heinrich Jiang
Qijia Jiang
Aldo Pacchiano
9
7
0
08 Jun 2020
Manipulation-Proof Machine Learning
Manipulation-Proof Machine Learning
Daniel Björkegren
J. Blumenstock
Samsun Knight
14
40
0
08 Apr 2020
Causal Strategic Linear Regression
Causal Strategic Linear Regression
Yonadav Shavit
Benjamin L. Edelman
Brian Axelrod
13
74
0
24 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error
  Rates Be Reconciled?
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?
Claire Lazar Reich
Suhas Vijaykumar
FaML
14
19
0
18 Feb 2020
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
11
33
0
17 Feb 2020
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