Nir Rosenfeld
24 papers · 2014–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (4) π§ Keyword Pioneer π Cross-Pollinator (3)
π
Cross-Pollinator
(3)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(36)
π
Triple Crown
π
Keyword Champion
(3)
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(24)
ποΈ
Keyword Collector
(87)
π₯
Unstoppable
(6)
Conferences
ICML (14)
NIPS (4)
AISTATS (3)
ICLR (3)
Top co-authors
Keywords
game theory
(5)
strategic classification
(5)
feature manipulation
(3)
causal inference
(2)
user behavior
(2)
decision making
(2)
recommender system
(2)
representation learning
(2)
predictive model
(2)
submodular function
(2)
pac learning
(1)
multi-label classification
(1)
information retrieval
(1)
empirical risk minimization
(1)
policy optimization
(1)
preference learning
(1)
structured output prediction
(1)
uncertainty quantification
(1)
semi-supervised learning
(1)
discriminative learning
(1)
Papers
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
ICLR 2025
Learning Classifiers That Induce Markets
ICML 2025
A Market for Accuracy: Classification Under Competition
ICML 2025
Classification Under Strategic Self-Selection
ICML 2024
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
ICLR 2024
One-Shot Strategic Classification Under Unknown Costs
ICML 2024
Strategic Classification with Graph Neural Networks
ICLR 2023
Delegated Classification
NIPS 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
ICML 2023
Causal Strategic Classification: A Tale of Two Shifts
ICML 2023
Performative Recommendation: Diversifying Content via Strategic Incentives
ICML 2023
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
NIPS 2022
Strategic Representation
ICML 2022
Generalized Strategic Classification and the Case of Aligned Incentives
ICML 2022
Strategic Classification in the Dark
ICML 2021
Learning Representations by Humans, for Humans
ICML 2021
Strategic Classification Made Practical
ICML 2021
From Predictions to Decisions: Using Lookahead Regularization
NIPS 2020
Predicting Choice with Set-Dependent Aggregation
ICML 2020
Semi-Supervised Learning with Competitive Infection Models
AISTATS 2018
Discriminative Learning of Prediction Intervals
AISTATS 2018
Learning to Optimize Combinatorial Functions
ICML 2018
Optimal Tagging with Markov Chain Optimization
NIPS 2016
Learning Structured Models with the AUC Loss and Its Generalizations
AISTATS 2014