Rolf Jagerman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Query Expansion

Information Retrieval Evaluation

Top Venues

Publications

Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD (2024)
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR (2024)
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR (2024)
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
Query Expansion by Prompting Large Language Models. CoRR (2023)
Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
RD-Suite: A Benchmark for Ranking Distillation. NeurIPS (2023)
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR (2023)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR (2023)
Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
RD-Suite: A Benchmark for Ranking Distillation. CoRR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM (2023)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR (2022)
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR (2022)
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD (2022)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR (2022)
Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
Bootstrapping Recommendations at Chrome Web Store. KDD (2021)
Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
Improving Cloud Storage Search with User Activity. WSDM (2021)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. 38 (3) (2020)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
Safe Exploration for Optimizing Contextual Bandits. CoRR (2020)
Rolf Jagerman, Maarten de Rijke
Accelerated Convergence for Counterfactual Learning to Rank. CoRR (2020)
Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) (2020)
Rolf Jagerman, Maarten de Rijke
Accelerated Convergence for Counterfactual Learning to Rank. SIGIR (2020)
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. SIGIR (2019)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM (2019)
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. CoRR (2019)
Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR (2019)
Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
Unbiased Learning to Rank: Counterfactual and Online Approaches. CoRR (2019)
Rolf Jagerman, Krisztian Balog, Maarten de Rijke
OpenSearch: Lessons Learned from an Online Evaluation Campaign. ACM J. Data Inf. Qual. 10 (3) (2018)
Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke
Computing Web-scale Topic Models using an Asynchronous Parameter Server. SIGIR (2017)
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
Query-Level Ranker Specialization. LEARNER@ICTIR (2017)
Rolf Jagerman, Julia Kiseleva, Maarten de Rijke
Modeling Label Ambiguity for Neural List-Wise Learning to Rank. CoRR (2017)
Rolf Jagerman, Krisztian Balog, Philipp Schaer, Johann Schaible, Narges Tavakolpoursaleh, Maarten de Rijke
Overview of TREC OpenSearch 2017. TREC (2017)
Rolf Jagerman, Carsten Eickhoff
Web-scale Topic Models in Spark: An Asynchronous Parameter Server. CoRR (2016)
Jan Deriu, Rolf Jagerman, Kai-En Tsay
A Directional Diffusion Algorithm for Inpainting. CoRR (2015)
Rolf Jagerman, Wendo Sabée, Laurens Versluis, Martijn de Vos, Johan A. Pouwelse
The fifteen year struggle of decentralizing privacy-enhancing technology. CoRR (2014)