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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"

50 / 191 papers shown
Title
Difficult Lessons on Social Prediction from Wisconsin Public Schools
Difficult Lessons on Social Prediction from Wisconsin Public Schools
Juan C. Perdomo
Tolani A. Britton
Moritz Hardt
Rediet Abebe
14
23
0
13 Apr 2023
DEPLOYR: A technical framework for deploying custom real-time machine
  learning models into the electronic medical record
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Conor K. Corbin
R. Maclay
Aakash Acharya
Sreedevi Mony
Soumya Punnathanam
Rahul Thapa
N. Kotecha
N. Shah
Jonathan H. Chen
15
17
0
11 Mar 2023
Fundamental Bounds on Online Strategic Classification
Fundamental Bounds on Online Strategic Classification
Saba Ahmadi
Avrim Blum
Kunhe Yang
22
10
0
23 Feb 2023
Counterfactual Prediction Under Outcome Measurement Error
Counterfactual Prediction Under Outcome Measurement Error
Luke M. Guerdan
Amanda Coston
Kenneth Holstein
Zhiwei Steven Wu
26
15
0
22 Feb 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
29
1
0
14 Feb 2023
Causal Strategic Classification: A Tale of Two Shifts
Causal Strategic Classification: A Tale of Two Shifts
G. Horowitz
Nir Rosenfeld
OffRL
CML
26
14
0
13 Feb 2023
Causal Inference out of Control: Estimating the Steerability of
  Consumption
Causal Inference out of Control: Estimating the Steerability of Consumption
Gary Cheng
Moritz Hardt
Celestine Mendler-Dünner
CML
37
1
0
10 Feb 2023
Performative Recommendation: Diversifying Content via Strategic
  Incentives
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat
Nir Rosenfeld
46
7
0
08 Feb 2023
Sequential Strategic Screening
Sequential Strategic Screening
Lee Cohen
Saeed Sharifi-Malvajerd
Kevin Stangl
A. Vakilian
Juba Ziani
28
4
0
31 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang
Yatong Chen
Yang Liu
Anton van den Hengel
15
8
0
21 Jan 2023
Knowledge Acquisition and Completion for Long-Term Human-Robot
  Interactions using Knowledge Graph Embedding
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding
E. Bartoli
F. Argenziano
V. Suriani
Daniele Nardi
8
4
0
17 Jan 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
40
32
0
24 Nov 2022
Monitoring machine learning (ML)-based risk prediction algorithms in the
  presence of confounding medical interventions
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions
Jean Feng
Alexej Gossmann
Gene Pennello
N. Petrick
B. Sahiner
Romain Pirracchio
13
3
0
17 Nov 2022
General Intelligence Requires Rethinking Exploration
General Intelligence Requires Rethinking Exploration
Minqi Jiang
Tim Rocktaschel
Edward Grefenstette
LRM
29
17
0
15 Nov 2022
The Sample Complexity of Online Contract Design
The Sample Complexity of Online Contract Design
Banghua Zhu
Stephen Bates
Zhuoran Yang
Yixin Wang
Jiantao Jiao
Michael I. Jordan
26
46
0
10 Nov 2022
Iterative Teaching by Data Hallucination
Iterative Teaching by Data Hallucination
Zeju Qiu
Weiyang Liu
Tim Z. Xiao
Zhen Liu
Umang Bhatt
Yucen Luo
Adrian Weller
Bernhard Schölkopf
29
9
0
31 Oct 2022
Online Convex Optimization with Unbounded Memory
Online Convex Optimization with Unbounded Memory
Raunak Kumar
Sarah Dean
Robert D. Kleinberg
13
6
0
18 Oct 2022
Making Decisions under Outcome Performativity
Making Decisions under Outcome Performativity
Michael P. Kim
Juan C. Perdomo
46
20
0
04 Oct 2022
Diversified Recommendations for Agents with Adaptive Preferences
Diversified Recommendations for Agents with Adaptive Preferences
Arpit Agarwal
William Brown
21
12
0
20 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
74
43
0
08 Sep 2022
Optimizing the Performative Risk under Weak Convexity Assumptions
Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
30
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
21
8
0
23 Aug 2022
An Overview and Prospective Outlook on Robust Training and Certification
  of Machine Learning Models
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
OOD
13
2
0
15 Aug 2022
Anticipating Performativity by Predicting from Predictions
Anticipating Performativity by Predicting from Predictions
Celestine Mendler-Dünner
Frances Ding
Yixin Wang
29
30
0
15 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
26
62
0
29 Jul 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
14
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
22
5
0
09 Jul 2022
Scoring Rules for Performative Binary Prediction
Scoring Rules for Performative Binary Prediction
Alan Chan
28
1
0
05 Jul 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference
Breaking Feedback Loops in Recommender Systems with Causal Inference
K. Krauth
Yixin Wang
Michael I. Jordan
CML
49
19
0
04 Jul 2022
Performative Reinforcement Learning
Performative Reinforcement Learning
Debmalya Mandal
Stelios Triantafyllou
Goran Radanović
33
17
0
30 Jun 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven
  Decision-making Algorithms
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
Amanda Coston
Anna Kawakami
Haiyi Zhu
Kenneth Holstein
Hoda Heidari
49
34
0
30 Jun 2022
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Diogo Leitao
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
17
20
0
27 Jun 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in
  Performative Prediction
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
26
4
0
27 Jun 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms
Modeling Content Creator Incentives on Algorithm-Curated Platforms
Jiri Hron
K. Krauth
Michael I. Jordan
Niki Kilbertus
Sarah Dean
23
37
0
27 Jun 2022
Is your model predicting the past?
Is your model predicting the past?
Moritz Hardt
Michael P. Kim
16
11
0
23 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
24
5
0
06 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement
  Errors on Fairness Criteria
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
Yiqiao Liao
Parinaz Naghizadeh Ardabili
21
8
0
31 May 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
31
5
0
26 May 2022
Preference Dynamics Under Personalized Recommendations
Preference Dynamics Under Personalized Recommendations
Sarah Dean
Jamie Morgenstern
75
34
0
25 May 2022
Surprises in adversarially-trained linear regression
Surprises in adversarially-trained linear regression
Antônio H. Ribeiro
Dave Zachariah
Thomas B. Schon
AAML
108
2
0
25 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification
Addressing Strategic Manipulation Disparities in Fair Classification
Vijay Keswani
L. E. Celis
24
3
0
22 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
8
32
0
08 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu
Lu Zhang
23
20
0
04 Apr 2022
Performative Power
Performative Power
Moritz Hardt
Meena Jagadeesan
Celestine Mendler-Dünner
19
35
0
31 Mar 2022
Learning Losses for Strategic Classification
Learning Losses for Strategic Classification
Tosca Lechner
Ruth Urner
15
19
0
25 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman
Sayash Kapoor
Priyanka Nanayakkara
Andrew Gelman
Arvind Narayanan
33
39
0
12 Mar 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo
Michael I. Jordan
Angela Zhou
CML
OffRL
26
3
0
25 Feb 2022
Online Decision Transformer
Online Decision Transformer
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
16
204
0
11 Feb 2022
Fair When Trained, Unfair When Deployed: Observable Fairness Measures
  are Unstable in Performative Prediction Settings
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings
Alan Mishler
Niccolò Dalmasso
19
17
0
10 Feb 2022
Regret Minimization with Performative Feedback
Regret Minimization with Performative Feedback
Meena Jagadeesan
Tijana Zrnic
Celestine Mendler-Dünner
32
33
0
01 Feb 2022
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