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    <title>Sebastian Schelter on Sebastian Schelter</title>
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    <description>Recent content in Sebastian Schelter on Sebastian Schelter</description>
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      <title>Directions Towards Efficient and Automated Data Wrangling with Large Language Models</title>
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      <pubDate>Tue, 05 Mar 2024 00:00:00 +0000</pubDate>
      
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      <title>SchemaPile: A Large Collection of Relational Database Schemas</title>
      <link>https://ssc.io/publication/schemapile-a-large-collection-of-relational-database-schemas-sigmod/</link>
      <pubDate>Fri, 23 Feb 2024 00:00:00 +0000</pubDate>
      
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      <title>Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI</title>
      <link>https://ssc.io/publication/red-onions-soft-cheese-and-data-from-food-safety-to-data-traceability-for-responsible-ai-ieee-debull/</link>
      <pubDate>Tue, 13 Feb 2024 00:00:00 +0000</pubDate>
      
      <guid>https://ssc.io/publication/red-onions-soft-cheese-and-data-from-food-safety-to-data-traceability-for-responsible-ai-ieee-debull/</guid>
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      <title>Canonpipe: Data Debugging with Shapley Importance over Machine Learning Pipelines</title>
      <link>https://ssc.io/publication/canonpipe-data-debugging-with-shapley-importance-over-machine-learning-pipelines/</link>
      <pubDate>Tue, 16 Jan 2024 00:00:00 +0000</pubDate>
      
      <guid>https://ssc.io/publication/canonpipe-data-debugging-with-shapley-importance-over-machine-learning-pipelines/</guid>
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      <title>Assisted Design of Data Science Pipelines</title>
      <link>https://ssc.io/publication/assisted-design-of-data-science-pipelines-vldbj/</link>
      <pubDate>Mon, 15 Jan 2024 00:00:00 +0000</pubDate>
      
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      <title>Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making</title>
      <link>https://ssc.io/publication/automated-data-cleaning-can-hurt-fairness-in-ml-based-decision-making-tkde/</link>
      <pubDate>Mon, 15 Jan 2024 00:00:00 +0000</pubDate>
      
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      <title>Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale</title>
      <link>https://ssc.io/publication/etude-evaluating-the-inference-latency-of-session-based-recommendation-models-at-scale-icde/</link>
      <pubDate>Mon, 08 Jan 2024 00:00:00 +0000</pubDate>
      
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      <title>Domain Generalization in Time Series Forecasting</title>
      <link>https://ssc.io/publication/domain-generalisation-for-timeseries-forecasting-tkde/</link>
      <pubDate>Sun, 07 Jan 2024 00:00:00 +0000</pubDate>
      
      <guid>https://ssc.io/publication/domain-generalisation-for-timeseries-forecasting-tkde/</guid>
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      <title>Hierarchical Forecasting at Scale</title>
      <link>https://ssc.io/publication/hierarchical-forecasting-at-scale-ijf/</link>
      <pubDate>Fri, 05 Jan 2024 00:00:00 +0000</pubDate>
      
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      <title>Action Editor at DMLR</title>
      <link>https://ssc.io/post/2023-10-18/</link>
      <pubDate>Wed, 18 Oct 2023 00:00:00 +0200</pubDate>
      
      <guid>https://ssc.io/post/2023-10-18/</guid>
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      <title>Keynote at BIFOLD Summer School</title>
      <link>https://ssc.io/post/2023-08-30-keynote-summerschool/</link>
      <pubDate>Wed, 30 Aug 2023 00:00:00 +0200</pubDate>
      
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      <title>Improving Retrieval-Augmented Large Language Models via Data Importance Learning</title>
      <link>https://ssc.io/publication/improving-retrieval-augmentedlms-via-data-importance-learning-arxiv/</link>
      <pubDate>Sun, 30 Jul 2023 00:00:00 +0000</pubDate>
      
      <guid>https://ssc.io/publication/improving-retrieval-augmentedlms-via-data-importance-learning-arxiv/</guid>
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      <title>Paper accepted at SIGMOD</title>
      <link>https://ssc.io/post/2023-06-22-sigmod-awards/</link>
      <pubDate>Thu, 22 Jun 2023 00:00:00 +0200</pubDate>
      
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      <title>Towards Declarative Systems for Data-Centric Machine Learning</title>
      <link>https://ssc.io/publication/towards-declarative-systems-for-data-centric-machine-learning-dmlr/</link>
      <pubDate>Tue, 20 Jun 2023 00:00:00 +0000</pubDate>
      
      <guid>https://ssc.io/publication/towards-declarative-systems-for-data-centric-machine-learning-dmlr/</guid>
      <description></description>
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      <title>mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?</title>
      <link>https://ssc.io/publication/mlwhatif-demo-vldb/</link>
      <pubDate>Mon, 05 Jun 2023 00:00:00 +0000</pubDate>
      
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