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Robert C. Williamson

  1. Estimating the Support of a High-Dimensional Distribution
    2001/07/01 by Bernhard Schölkopf, John C. Platt, John Platt +5 · 102 citations
    Computer Science · #Face and Expression Recognition #Machine Learning and Algorithms #Machine Learning and Data Classification
  2. Learning with Symmetric Label Noise: The Importance of Being Unhinged
    2015/05/28 by Brendan van Rooyen, van Rooyen, Brendan, Aditya Krishna Menon +3 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  3. Generalised Pinsker Inequalities
    2009/06/06 by Mark D. Reid, Reid, Mark D., Robert C. Williamson +1 · 4 citations
    Physics and Astronomy · Mathematics · Engineering · #Statistical Mechanics and Entropy #Mathematical Inequalities and Applications #Sparse and Compressive Sensing Techniques
  4. Composite Binary Losses
    2009/12/17 by Mark D. Reid, Reid, Mark D., Robert C. Williamson +1 · 2 citations
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (stat.ML) #Statistical Methods and Inference
  5. Information, Divergence and Risk for Binary Experiments
    2009/01/05 by Mark D. Reid, Robert C. Williamson, Reid, Mark D. +1 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
  6. The cost of fairness in classification
    2017/05/25 by Aditya Krishna Menon, Menon, Aditya Krishna, Robert C. Williamson +1 · 1 citation
    Computer Science · Medicine · Social Sciences · #Ethics in Clinical Research #European and International Law Studies #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Machine Learning (cs.LG)
  7. Scoring Rules and Calibration for Imprecise Probabilities
    2024/10/30 by Christian Fröhlich, Fröhlich, Christian, Robert C. Williamson +1 · 1 voice · 2 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST) #cs.LG #math.ST
  8. Risk Measures and Upper Probabilities: Coherence and Stratification
    2022/06/07 by Christian Fröhlich, Robert C. Williamson, Fröhlich, Christian +1 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)