Distributional Regression

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13 papers5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Scalable and Adaptive Distribution Regression via Random Features

    Oct 17, 2026Yinsong Wang, Xiao Liu, Yu DingDistributional RegressionRandom Feature Methods

    School of Mechanical, Industrial and Material Engineering, University of Nevada Reno, Reno 89557, USA. · H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta 30332, USA.

  2. Distributional Regression for Arbitrary Response Variables Using ReLU Neural Networks

    Oct 12, 2026Junpeng Ren, Carlos Misael Madrid Padilla, Oscar Hernan Madrid PadillaDistributional RegressionConditional Distribution Estimation

    Department of Statistics and Data Science, University of California, Los Angeles, Los Angeles, CA, USA · Department of Statistics and Data Science, Washington University in St Louis, St. Louis, MO, USA

  3. Generalized Engression Models

    Oct 1, 2026Xinwei Shen, Zijian Guo, Francis BachConditional Distribution EstimationDistributional Regression

    Department of Statistics, University of Washington · Center for Data Science, Zhejiang University · Inria, ´Ecole Normale Sup´erieure, PSL Research University

  4. Sufficiently Reduced Distributional Regression

    Sep 24, 2026Alexander Henzi, Tiange Liu, Xinwei ShenConditional Distribution EstimationInverse Dimensionality Reduction

    Tsinghua University, Department of Statistics and Data Science · University of Washington

  5. PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images

    Sep 22, 2026Daniel Collin, Yuri Shprits, Luca Chiarabini +3Time Series ForecastingDistributional Regression

    Space Physics and Space Weather, GFZ Helmholtz Centre for Geosciences, Potsdam, Germany · Department of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin, Germany · Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany +5

  6. Distributional Split Criteria for Random Forests: Extensions, Shrinkage, and the Robustness of Mean Splitting

    Jul 26, 2026Silas KoemenMaximum Mean DiscrepancyRandom Forest

  7. Generalization Analysis of Transformers in Distribution Regression

    Jun 28, 2026Peilin Liu, Ding-Xuan ZhouNeural Network GeneralizationTransformer Attention

    School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia

  8. Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression

    May 30, 2026Kwangho Kim, Jisu KimKernel Ridge RegressionDistributional Regression

    Department of Statistics, Korea University, Seoul, Korea · Department of Statistics, Seoul National University, Seoul, Korea

  9. Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

    May 2, 2026Yao Du, Shanshan Song, Xiaomeng LiMultimodal Large Language ModelsRL Fine-Tuning

    The Hong Kong University of Science and Technology, Hong Kong SAR, China.

  10. Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context

    Apr 22, 2026Yilun Zhu, Yuan Zhuang, Nikhita Vedula +6Quantile RegressionDistributional Regression

    Amazon.com, Inc. · Stanford University

  11. Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions

    Apr 9, 2026Rileigh Bandy, Enrico Camporeale, Andong Hu +2Distributional RegressionUncertainty Quantification

    Optimization and Uncertainty Quantification Department, Sandia National Laboratories, Albuquerque, NM · School of Physical and Chemical Sciences, Queen Mary University of London, London, UK and Space Weather Technology, Research and Education Center, University of Colorado, Boulder, CO · Space Weather Technology, Research and Education Center, University of Colorado, Boulder, CO +2

  12. UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression

    Apr 1, 2026Mars Liyao Gao, Yuxuan Bao, Amy S. Rude +2Distributional RegressionUncertainty Quantification

    Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA · Department of Applied Mathematics, University of Washington, Seattle, WA, USA · Department of Statistics, University of Washington, Seattle, WA, USA +1

  13. Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules

    Mar 9, 2026Jonas Landsgesell, Pascal Knoll, Tizian WenzelTabular Foundation ModelsProper Scoring Rules

    University of Stuttgart (Stuttgart, Germany) · Ludwig Maximilian University of Munich (Munich, Germany) · Munich Center for Machine Learning (Munich, Germany)