Nir Rosenfeld - RankMe

57 papers A* 21A 5Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Market for Accuracy: Classification Under Competition. ICML Ohad Einav, Nir Rosenfeld
2025	J	`jnl`	A Market for Accuracy: Classification under Competition. CoRR Ohad Einav, Nir Rosenfeld
2025	A*	`conf`	Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness. ICLR Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld
2025	J	`jnl`	Evolutionary Prediction Games. CoRR Eden Saig, Nir Rosenfeld
2025	A*	`conf`	Learning Classifiers That Induce Markets. ICML Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld
2025	J	`jnl`	Learning Classifiers That Induce Markets. CoRR Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld
2025	J	`jnl`	Machine Learning Should Maximize Welfare, Not (Only) Accuracy. CoRR Nir Rosenfeld, Haifeng Xu
2025	J	`jnl`	Strategic Classification with Non-Linear Classifiers. CoRR Benyamin Trachtenberg, Nir Rosenfeld
2024	J	`jnl`	Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness. CoRR Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld
2024	A*	`conf`	Classification Under Strategic Self-Selection. ICML Guy Horowitz, Yonatan Sommer, Moran Koren, Nir Rosenfeld
2024	J	`jnl`	Classification Under Strategic Self-Selection. CoRR Guy Horowitz, Yonatan Sommer, Moran Koren, Nir Rosenfeld
2024	A*	`conf`	Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces. ICLR Omer Nahum, Gali Noti, David C. Parkes, Nir Rosenfeld
2024	A*	`conf`	One-Shot Strategic Classification Under Unknown Costs. ICML Elan Rosenfeld, Nir Rosenfeld
2024	A	`conf`	Strategic ML: How to Learn With Data That 'Behaves'. WSDM Nir Rosenfeld
2023	A*	`conf`	Causal Strategic Classification: A Tale of Two Shifts. ICML Guy Horowitz, Nir Rosenfeld
2023	J	`jnl`	Causal Strategic Classification: A Tale of Two Shifts. CoRR Guy Horowitz, Nir Rosenfeld
2023	J	`jnl`	Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces. CoRR Omer Nahum, Gali Noti, David C. Parkes, Nir Rosenfeld
2023	A*	`conf`	Delegated Classification. NeurIPS Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
2023	J	`jnl`	Delegated Classification. CoRR Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
2023	J	`jnl`	Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. CoRR Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov
2023	A*	`conf`	Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement. ICML Eden Saig, Nir Rosenfeld
2023	J	`jnl`	One-Shot Strategic Classification Under Unknown Costs. CoRR Elan Rosenfeld, Nir Rosenfeld
2023	A*	`conf`	Performative Recommendation: Diversifying Content via Strategic Incentives. ICML Itay Eilat, Nir Rosenfeld
2023	J	`jnl`	Performative Recommendation: Diversifying Content via Strategic Incentives. CoRR Itay Eilat, Nir Rosenfeld
2023	A*	`conf`	Strategic Classification with Graph Neural Networks. ICLR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2022	A*	`conf`	Generalized Strategic Classification and the Case of Aligned Incentives. ICML Sagi Levanon, Nir Rosenfeld
2022	J	`jnl`	Generalized Strategic Classification and the Case of Aligned Incentives. CoRR Sagi Levanon, Nir Rosenfeld
2022	A*	`conf`	In the Eye of the Beholder: Robust Prediction with Causal User Modeling. NeurIPS Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
2022	J	`jnl`	In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
2022	J	`jnl`	Learning to Take a Break: Sustainable Optimization of Long-Term User Engagement. CoRR Eden Saig, Nir Rosenfeld
2022	J	`jnl`	Strategic Classification with Graph Neural Networks. CoRR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2022	A*	`conf`	Strategic Representation. ICML Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld
2022	J	`jnl`	Strategic Representation. CoRR Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld
2021	A*	`conf`	Learning Representations by Humans, for Humans. ICML Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes
2021	A*	`conf`	Strategic Classification Made Practical. ICML Sagi Levanon, Nir Rosenfeld
2021	J	`jnl`	Strategic Classification Made Practical. CoRR Sagi Levanon, Nir Rosenfeld
2021	A*	`conf`	Strategic Classification in the Dark. ICML Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
2021	J	`jnl`	Strategic Classification in the Dark. CoRR Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
2020	A*	`conf`	A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. WWW Nir Rosenfeld, Aron Szanto, David C. Parkes
2020	J	`jnl`	A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. CoRR Nir Rosenfeld, Aron Szanto, David C. Parkes
2020	A*	`conf`	From Predictions to Decisions: Using Lookahead Regularization. NeurIPS Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
2020	J	`jnl`	From Predictions to Decisions: Using Lookahead Regularization. CoRR Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
2020	A*	`conf`	Predicting Choice with Set-Dependent Aggregation. ICML Nir Rosenfeld, Kojin Oshiba, Yaron Singer
2019	J	`jnl`	Learning Representations by Humans, for Humans. CoRR Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes
2019	J	`jnl`	Predicting Choice with Set-Dependent Aggregation. CoRR Nir Rosenfeld, Kojin Oshiba, Yaron Singer
2018	A	`conf`	Discriminative Learning of Prediction Intervals. AISTATS Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2018	A*	`conf`	Learning to Optimize Combinatorial Functions. ICML Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer
2018	—	`—`	Machine Learning : Of, By, and For Social Dynamics (כותר נוסף בעברית: מערכות למודות : של, על, ועבור דינמיקה חברתית). Nir Rosenfeld
2018	A	`conf`	Semi-Supervised Learning with Competitive Infection Models. AISTATS Nir Rosenfeld, Amir Globerson
2017	J	`jnl`	Discriminative Learning of Prediction Intervals. CoRR Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2017	—	`conf`	Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. WWW (Companion Volume) Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2017	J	`jnl`	Semi-Supervised Learning with Competitive Infection Models. CoRR Nir Rosenfeld, Amir Globerson
2016	A	`conf`	Discriminative Learning of Infection Models. WSDM Nir Rosenfeld, Mor Nitzan, Amir Globerson
2016	—	`conf`	Optimal Tagging with Markov Chain Optimization. NIPS Nir Rosenfeld, Amir Globerson
2016	J	`jnl`	Optimal Tagging with Markov Chain Optimization. CoRR Nir Rosenfeld, Amir Globerson
2016	J	`jnl`	Predicting Counterfactuals from Large Historical Data and Small Randomized Trials. CoRR Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
2014	A	`conf`	Learning Structured Models with the AUC Loss and Its Generalizations. AISTATS Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson