Items where Author is "Krause, Andreas"

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Number of items: 16.

Paper in Conference Proceedings or in Workshop Proceedings

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas In: The Thirty-ninth International Conference on Machine Learning , 17.-23.07.2022 , Baltimore, USA (2022)

  • Information Directed Reward Learning for Reinforcement Learning
    Lindner, David and Turchetta, Matteo and Tschiatschek, Sebastian and Ciosek, Kamil and Krause, Andreas In: Thirty-fifth Conference on Neural Information Processing Systems (2021) , 07 Dec - 10 Dec 2021 , virtual-only (2021)

  • Differentiable Submodular Maximization
    Tschiatschek, Sebastian and Sahin, Aytunc and Krause, Andreas In: International Conference on Artificial Intelligence (IJCAI) , 13.-19.06.2018 , Stockholm, Sweden (2018)

  • Fake News Detection in Social Networks via Crowd Signals
    Tschiatschek, Sebastian and Singla, Adish and Gomez Rodriguez, Manuel and Merchant, Arpit and Krause, Andreas In: Companion of the The Web Conference 2018 (WWW) , 23.-27.04.2018 , Lyon, France (2018)

  • Learning User Preferences to Incentivize Exploration in the Sharing Economy
    Hirnschall, Christhop and Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 02.-07.02.2018 , New Orleans, Louisiana, USA (2018)

  • Improving Optimization-Based Approximate Inference by Clamping Variables
    Zhao, Junyao and Djolonga, Josip and Tschiatschek, Sebastian and Krause, Andreas In: Uncertainty in Artificial Intelligence (UAI) , 11.-15.08.2017 , Sidney, Australia (2017)

  • Guarantees for Greedy Maximization of Non-submodular Functions with Applications
    Bian, Andrew An and Buhmann, Joachim M. and Krause, Andreas and Tschiatschek, Sebastian In: Thirty-fourth International Conference on Machine Learning (ICML) , 06.-11.08.2017 , Sidney, Australia (2017)

  • Selecting Sequences of Items via Submodular Maximization
    Tschiatschek, Sebastian and Singla, Adish and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 04.-10.02.2017 , San Francisco, California, USA (2017)

  • Cooperative Graphical Models
    Djolonga, Josip and Jegelka, Stefanie and Tschiatschek, Sebastian and Krause, Andreas In: Neural Information Processing Systems (NIPS) , 05.-10.12.2016 , Barcelona, Spain (2016)

  • Variational Inference in Mixed Probabilistic Submodular Models
    Djolonga, Josip and Tschiatschek, Sebastian and Krause, Andreas In: Neural Information Processing Systems (NIPS) , 05.-10.12.2016 , Barcelona, Spain (2016)

  • Actively Learning Hemimetrics with Applications to Eliciting User Preferences
    Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: International Conference on Machine Learning (ICML) , 19.-24.06.2016 , New York, New York, USA (2016)

  • Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
    Tschiatschek, Sebastian and Djolonga, Josip and Krause, Andreas In: International Conference on Artificial Intelligence and Statistics (AISTATS) , 09.-11.05.2016 , Cadiz, Spain (2016)

  • Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
    Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 12.-17.02.2016 , Phoenix, Arizona, USA (2016)

    • Technical Report

  • Learning Safety Constraints from Demonstrations with Unknown Rewards
    Lindner, David and Chen, Xin and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Technical Report. CoRR arXiv (2023)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2022)

  • Information Directed Reward Learning for Reinforcement Learning
    Lindner, David and Turchetta, Matteo and Tschiatschek, Sebastian and Ciosek, Kamil and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2021)

    • This list was generated on Tue Dec 3 18:24:21 2024 CET.
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