Functional Bregman Divergences

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1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. How Bregman Divergences Shape Shampoo

    Oct 6, 2026Bing Liu, Wenjie Zhou, Chengcheng Zhao +4Deep Learning OptimizationFunctional Bregman Divergences

    Zhejiang University · University of the Chinese Academy of Sciences · Peking University +2

  2. Bregman Consensus

    Sep 28, 2026Andrei N. SoklakovFunctional Bregman DivergencesMulti-Agent Consensus

  3. Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning

    Jul 2, 2026He Huang, Lu Shen, Yunfeng Huang +1Representation LearningFunctional Bregman Divergences

    School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, 400067, China · School of Food Science, Chongqing Technology and Business University, Chongqing,2026 400067, China · Faculty of Electrical EngineeringUniversity, andDortmund,InformationGermanyTechnology, TU Dortmund +1

  4. A Bregman Perspective on Classification and Regression Trees

    Jun 12, 2026Mathias BourelFunctional Bregman DivergencesDecision Tree Learning

    IESTA, Facultad de Ciencias Económicas y de Administración, Universidad de la República, Uruguay · IRL-2030, Instituto Franco-Uruguayo de Matemática e Interacciones (IFUMI)

  5. Calibeating for general proper losses: A Bregman divergence approach

    May 17, 2026Maximilian Fichtl, Cristóbal Guzmán, Nishant A. MehtaFunctional Bregman DivergencesProper Scoring Rules

    Independent researcher · Institute for Mathematical and Computational Engineering, Faculty of Mathematics and School of Engineering, Pontificia Universidad Católica de Chile · Department of Computer Science, University of Victoria

  6. BSO: Safety Alignment Is Density Ratio Matching

    May 12, 2026Tien-Phat Nguyen, Truong Nguyen, Thin Nguyen +3Functional Bregman DivergencesDirect Preference Optimization

    Hanoi University of Science and Technology Hanoi, Vietnam · Deakin University Burwood, VIC 3125, Australia · Max Planck Research School for Intelligent Systems +2

  7. Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning

    May 4, 2026Mehryar Mohri, Jon Schneider, Yutao ZhongFine-TuningLLM Alignment

    Google Research & CIMS · New York, NY 10011 · Google Research

  8. Generalising maximum mean discrepancy: kernelised functional Bregman divergences

    Apr 27, 2026Russell Tsuchida, Frank NielsenKernel Mean EmbeddingsFunctional Bregman Divergences

    Department of Data Science and AI, Monash University, Australia. · Sony Computer Science Laboratories, Inc. Tokyo, Japan.