Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay von McDonald, Thomas M, Lucas Maystre, Lalmas, Mounia, Russo, Daniel, Ciosek, Kamil

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Can Who-Edits-What Predict Edit Survival? von Ali Batuhan Yardım, Kristof, Victor, Lucas Maystre, Grossglauser, Matthias

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Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty von Bütepage, Judith, Maystre, Lucas, Lalmas, Mounia

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Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective von Maystre, Lucas, Russo, Daniel, Zhao, Yu

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On the Importance of Uncertainty in Decision-Making with Large Language Models von Felicioni, Nicolò, Maystre, Lucas, Ghiassian, Sina, Ciosek, Kamil

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Latte: Latent Attention for Linear Time Transformers von Dolga, Rares, Maystre, Lucas, Cobzarenco, Marius, Barber, David

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Anomaly Detection Using Gaussian Process Variational Autoencoder (GPVAE) von Maystre, Lucas, Bütepage, Judith

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Reproducibility package for the KDD 2019 paper "Pairwise Comparisons with Flexible Time-Dynamics" von Maystre, Lucas

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Fast Interactive Search with a Scale-Free Comparison Oracle von Chumbalov, Daniyar, Klein, Lars, Maystre, Lucas, Grossglauser, Matthias

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Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding von Van Goffrier, Graham, Maystre, Lucas, Gilligan-Lee, Ciarán

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A Strong Baseline for Batch Imitation Learning von Smith, Matthew, Maystre, Lucas, Dai, Zhenwen, Ciosek, Kamil

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SYSTEMS AND METHODS FOR INFERRING THE LANGUAGE OF MEDIA CONTENT ITEM von MAYSTRE, Lucas, KUMARAPPAN, Nagarjuna

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Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective von Lucas Maystre, Russo, Daniel, Zhao, Yu

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ChoiceRank: Identifying Preferences from Node Traffic in Networks von Maystre, Lucas, Grossglauser, Matthias

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Scalable and Efficient Comparison-based Search without Features von Chumbalov, Daniyar, Maystre, Lucas, Grossglauser, Matthias

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Pairwise Comparisons with Flexible Time-Dynamics von Maystre, Lucas, Kristof, Victor, Grossglauser, Matthias

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System and method for estimating a long-term effect in the presence of unobserved confounding von Gilligan-Lee, Ciarán, Maystre, Lucas, Van Goffrier, Graham

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Latte: Latent Attention for Linear Time Transformers von Dolga, Rares, Lucas Maystre, Cobzarenco, Marius, Barber, David

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On the Importance of Uncertainty in Decision-Making with Large Language Models von Felicioni, Nicolò, Lucas Maystre, Ghiassian, Sina, Ciosek, Kamil

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Just Sort It! A Simple and Effective Approach to Active Preference Learning von Maystre, Lucas, Grossglauser, Matthias

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