Rosenfeld, Nir

29 publications

ICML 2025 A Market for Accuracy: Classification Under Competition Ohad Einav, Nir Rosenfeld

ICLR 2025 Adversaries with Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld

NeurIPS 2025 Evolutionary Prediction Games Eden Saig, Nir Rosenfeld

ICML 2025 Learning Classifiers That Induce Markets Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld

NeurIPS 2025 Strategic Classification with Non-Linear Classifiers Benyamin Trachtenberg, Nir Rosenfeld

ICML 2024 Classification Under Strategic Self-Selection Guy Horowitz, Yonatan Sommer, Moran Koren, Nir Rosenfeld

ICLR 2024 Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces Omer Nahum, Gali Noti, David C. Parkes, Nir Rosenfeld

ICML 2024 One-Shot Strategic Classification Under Unknown Costs Elan Rosenfeld, Nir Rosenfeld

ICML 2023 Causal Strategic Classification: A Tale of Two Shifts Guy Horowitz, Nir Rosenfeld

NeurIPS 2023 Delegated Classification Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld

ICML 2023 Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig, Nir Rosenfeld

ICLRW 2023 Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig, Nir Rosenfeld

ICML 2023 Performative Recommendation: Diversifying Content via Strategic Incentives Itay Eilat, Nir Rosenfeld

ICLR 2023 Strategic Classification with Graph Neural Networks Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld

ICML 2022 Generalized Strategic Classification and the Case of Aligned Incentives Sagi Levanon, Nir Rosenfeld

NeurIPS 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

ICMLW 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

NeurIPSW 2022 Learning to Take a Break: Sustainable Optimization of Long-Term User Engagement Eden Saig, Nir Rosenfeld

ICML 2022 Strategic Representation Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld

ICML 2021 Learning Representations by Humans, for Humans Sophie Hilgard, Nir Rosenfeld, Mahzarin R Banaji, Jack Cao, David Parkes

ICML 2021 Strategic Classification Made Practical Sagi Levanon, Nir Rosenfeld

ICML 2021 Strategic Classification in the Dark Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld

NeurIPS 2020 From Predictions to Decisions: Using Lookahead Regularization Nir Rosenfeld, Anna Hilgard, Sai Srivatsa Ravindranath, David C. Parkes

ICML 2020 Predicting Choice with Set-Dependent Aggregation Nir Rosenfeld, Kojin Oshiba, Yaron Singer

AISTATS 2018 Discriminative Learning of Prediction Intervals Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov

ICML 2018 Learning to Optimize Combinatorial Functions Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer

AISTATS 2018 Semi-Supervised Learning with Competitive Infection Models Nir Rosenfeld, Amir Globerson

NeurIPS 2016 Optimal Tagging with Markov Chain Optimization Nir Rosenfeld, Amir Globerson

AISTATS 2014 Learning Structured Models with the AUC Loss and Its Generalizations Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson