Nir Rosenfeld

According to our database, Nir Rosenfeld authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Classification Under Strategic Self-Selection.

Guy Horowitz, Yonatan Sommer, Moran Koren, Nir Rosenfeld

CoRR, 2024

Strategic ML: How to Learn With Data That 'Behaves'.

Nir Rosenfeld

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

One-Shot Strategic Classification Under Unknown Costs.

Elan Rosenfeld, Nir Rosenfeld

CoRR, 2023

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias.

Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov

CoRR, 2023

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces.

Omer Nahum, Gali Noti, David C. Parkes, Nir Rosenfeld

CoRR, 2023

Delegated Classification.

Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement.

Eden Saig, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2023

Causal Strategic Classification: A Tale of Two Shifts.

Guy Horowitz, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2023

Performative Recommendation: Diversifying Content via Strategic Incentives.

Itay Eilat, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2023

Strategic Classification with Graph Neural Networks.

Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Take a Break: Sustainable Optimization of Long-Term User Engagement.

Eden Saig, Nir Rosenfeld

CoRR, 2022

In the Eye of the Beholder: Robust Prediction with Causal User Modeling.

Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Strategic Representation.

Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2022

Generalized Strategic Classification and the Case of Aligned Incentives.

Sagi Levanon, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2022

2021

Strategic Classification Made Practical.

Sagi Levanon, Nir Rosenfeld

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Representations by Humans, for Humans.

Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes

Proceedings of the 38th International Conference on Machine Learning, 2021

Strategic Classification in the Dark.

Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone.

Nir Rosenfeld, Aron Szanto, David C. Parkes

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

From Predictions to Decisions: Using Lookahead Regularization.

Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Predicting Choice with Set-Dependent Aggregation.

Nir Rosenfeld, Kojin Oshiba, Yaron Singer

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Machine Learning : Of, By, and For Social Dynamics (כותר נוסף בעברית: מערכות למודות : של, על, ועבור דינמיקה חברתית).

Nir Rosenfeld

PhD thesis, 2018

Learning to Optimize Combinatorial Functions.

Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer

Proceedings of the 35th International Conference on Machine Learning, 2018

Discriminative Learning of Prediction Intervals.

Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Semi-Supervised Learning with Competitive Infection Models.

Nir Rosenfeld, Amir Globerson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Predicting Counterfactuals from Large Historical Data and Small Randomized Trials.

Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016

Discriminative Learning of Infection Models.

Nir Rosenfeld, Mor Nitzan, Amir Globerson

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Optimal Tagging with Markov Chain Optimization.

Nir Rosenfeld, Amir Globerson

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Learning Structured Models with the AUC Loss and Its Generalizations.

Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014