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Wojciech Kotłowski

  1. Adaptive scale-invariant online algorithms for learning linear models
    2019/02/20 by Michał Kempka, Kempka, Michał, Wojciech Kotłowski +3 · 3 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Data Stream Mining Techniques
  2. Surrogate regret bounds for generalized classification performance\n metrics
    2015/04/27 by Wojciech Kotłowski, Krzysztof Dembczyński, Kotłowski, Wojciech +1 · 1 citation
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistical Methods and Inference
  3. The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
    2023/08/29 by Mathieu Chevalley, Jacob Sackett-Sanders, Chevalley, Mathieu +33 · 3 citations
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gene Regulatory Network Analysis #Single-cell and spatial transcriptomics
  4. Learning from Randomly Initialized Neural Network Features
    2022/02/13 by Ehsan Amid, Rohan Anil, Amid, Ehsan +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
  5. Consistent algorithms for multi-label classification with macro-at-k metrics
    2024/01/29 by Erik Schultheis, Schultheis, Erik, Wojciech Kotłowski +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
  6. A General Online Algorithm for Optimizing Complex Performance Metrics
    2024/06/20 by Wojciech Kotłowski, Kotłowski, Wojciech, Marek Wydmuch +7 · 1 citation
    Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Confidence Sequences for Generalized Linear Models via Regret Analysis
    2025/04/23 by Eugenio Clerico, Clerico, Eugenio, Hamish Flynn +5 · 3 citations
    Mathematics · #Statistical Methods and Inference