Branislav Kveton

Venues

Frequent coauthors

Papers

1. A Survey on LLM-based Conversational User Simulation
   EACL 2026 ·

   Bo Ni

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2. Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders
   IUI 2026 ·

   Santiago de Leon-Martinez

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3. Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
   ICML 2025 ·

   Kiran Koshy Thekumparampil

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4. Cross-Validated Off-Policy Evaluation
   AAAI 2025 ·

   Matej Cief

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5. FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
   ICML 2025 ·

   Rohan Deb

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6. From Selection to Generation: A Survey of LLM-based Active Learning
   ACL 2025 ·

   Yu Xia

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7. GUI Agents: A Survey
   ACL 2025 ·

   Dang Nguyen

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8. LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
   EMNLP 2025 ·

   Ho Yin Sam Ng

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9. Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
   ICCV 2025 ·

   Shijie Zhou

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10. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
    ICLR 2025 ·

    Junda Wu

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11. Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
    NeurIPS 2025 ·

    Subhojyoti Mukherjee

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12. RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
    SIGIR 2025 ·

    Santiago de Leon-Martinez

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13. Selective Uncertainty Propagation in Offline RL
    AAAI 2025 ·

    Sanath Kumar Krishnamurthy

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14. Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
    WSDM 2024 ·

    Behnam Rahdari

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15. MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
    ICML 2024 ·

    Kaan Ozkara

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16. Online Posterior Sampling with a Diffusion Prior
    NeurIPS 2024 · Branislav Kveton
17. Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
    ICLR 2024 ·

    Aadirupa Saha

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18. Optimal Design for Human Preference Elicitation
    NeurIPS 2024 ·

    Subhojyoti Mukherjee

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19. Pessimistic Off-Policy Multi-Objective Optimization
    AISTATS 2024 ·

    Shima Alizadeh

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20. Pessimistic Off-Policy Optimization for Learning to Rank
    ECAI 2024 ·

    Matej Cief

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21. Pre-trained Recommender Systems: A Causal Debiasing Perspective
    WSDM 2024 ·

    Ziqian Lin

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