De Rijke, Maarten

30 publications

TMLR 2026 A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-Tuning Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla

ICLR 2026 ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang

AAAI 2025 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

ICLRW 2025 Data Efficient Pre-Training for Language Models: An Empirical Study of Compute Efficiency and Linguistic Competence Andreas Paraskeva, Max Johannes van Duijn, Maarten de Rijke, Suzan Verberne, Jan N. van Rijn

UAI 2025 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression Sami Jullien, Romain Deffayet, Jean-Michel Renders, Paul Groth, Maarten de Rijke

AAAI 2025 ExcluIR: Exclusionary Neural Information Retrieval Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren

NeurIPS 2025 Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren

ICLR 2025 MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

TMLR 2024 Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning Maurits Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke

NeurIPS 2024 Generative Retrieval Meets Multi-Graded Relevance Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng

AAAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng

TMLR 2023 A Simulation Environment and Reinforcement Learning Method for Waste Reduction Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke

AAAI 2023 Contrastive Learning Reduces Hallucination in Conversations Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

AAAI 2023 Feature-Level Debiased Natural Language Understanding Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren

TMLR 2023 Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval Maurits Bleeker, Andrew Yates, Maarten de Rijke

AISTATS 2022 CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic, Maartje A. Ter Hoeve, Gabriele Tolomei, Maarten De Rijke, Fabrizio Silvestri

AAAI 2022 FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke

AAAI 2022 Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

TMLR 2022 sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict, Hendrik Vincent Koops, Daan Odijk, Maarten de Rijke

IJCAI 2021 Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator That Effectively Utilizes Online Interventions (Extended Abstract) Harrie Oosterhuis, Maarten de Rijke

AAAI 2020 RefNet: A Reference-Aware Network for Background Based Conversation Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke

AAAI 2020 Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke

UAI 2019 BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi

IJCAI 2019 Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model Chang Li, Maarten de Rijke

AAAI 2019 Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning Ziming Li, Julia Kiseleva, Maarten de Rijke

AAAI 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke

ICLR 2018 Deep Learning with Logged Bandit Feedback Thorsten Joachims, Adith Swaminathan, Maarten de Rijke

NeurIPS 2015 Copeland Dueling Bandits Masrour Zoghi, Zohar S Karnin, Shimon Whiteson, Maarten de Rijke

IJCAI 2007 Determining Expert Profiles (With an Application to Expert Finding) Krisztian Balog, Maarten de Rijke

ECML-PKDD 2000 Wrapper Generation via Grammar Induction Boris Chidlovskii, Jon Ragetli, Maarten de Rijke