Latest papers

CardsList

22 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. On the Optimisation Landscape of Overparameterised Weighted MMD

    Oct 14, 2026Tharrshann Jayan Logarajah, Jeremias Knoblauch, Louis SharrockOverparameterizationMaximum Mean Discrepancy

  2. Parameter symmetries determine representational geometry in overparameterized nonlinear networks

    Sep 30, 2026Marvin Theiss, Lukas Braun, Andrew M. Saxe +1Overparameterized Neural NetworkNeural Representation Geometry

  3. Double Descent and Malign Overfitting in Diffusion Models

    Sep 22, 2026Raphaël Urfin, Tony Bonnaire, Giulio Biroli +1Double DescentBenign Overfitting

  4. Structured Features Overfit Where Random Features Grok

    Sep 14, 2026Chon-Fai Kam, Miloud Bessafi, Frederic CadetNeural Network GeneralizationRidge Regression

  5. Online Generalized Sparse Regression: How Does Overparametrization Help?

    Aug 18, 2026Shuoguang Yang, Qiang SunOverparameterizationSparse Recovery

  6. Direction-Magnitude Decomposition for Low-Rank Matrix Optimization: Faster Convergence and Saddle-to-saddle Dynamics

    Jun 30, 2026Yudong Wei, Liang Zhang, Bingcong Li +1Low-Rank Matrix DecompositionNonconvex Optimization

  7. Asymmetric Scaling Laws from Sparse Features

    May 22, 2026John Sous, Michael WinerDouble DescentActivation Sparsity

  8. Unveiling Memorization-Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise

    May 18, 2026Linyu Liu, Pinyan LuNeural Network GeneralizationNeural Network Memorization

  9. The Role of Symmetry in Optimizing Overparameterized Networks

    Apr 28, 2026Kusha Sareen, Mohammad Pedramfar, Sékou-Oumar Kaba +2Neural Network OptimizationWeight-Space Analysis

  10. Mild Over-Parameterization Benefits Asymmetric Tensor PCA

    Apr 11, 2026Shihong Ding, Weicheng Lin, Cong FangOverparameterizationTensor Decomposition

  11. Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks

    Apr 10, 2026Jie Huang, Bruno Loureiro, Stefano Sarao MannelliOverparameterizationLoss Landscape

  12. The Price of Robustness: Stable Classifiers Need Overparameterization

    Mar 3, 2026Jonas von Berg, Adalbert Fono, Massimiliano Datres +2OverparameterizationRobust Classification

  13. The power of small initialization in noisy low-tubal-rank tensor recovery

    Mar 3, 2026ZHiyu Liu, Haobo Geng, Xudong Wang +3OverparameterizationGradient Descent

  14. Critical Points of Degenerate Metrics on Algebraic Varieties: A Tale of Overparametrization

    Dec 24, 2025Giovanni Luca Marchetti, Erin Connelly, Paul Breiding +1Constrained OptimizationOverparameterization

  15. Favorability of Loss Landscape with Weight Decay Requires Both Large Overparametrization and Initialization

    May 28, 2025Etienne Boursier, Matthew Bowditch, Matthias Englert +1Loss LandscapeOverparameterized Neural Network

  16. Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis

    Jun 14, 2024Srishti Gupta, Zhang Chen, Luca Demetrio +9Overparameterized Neural NetworkAdversarial Attacks

  17. A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

    Sep 6, 2021Yehuda Dar, Vidya Muthukumar, Richard G. BaraniukDouble DescentNeural Network Generalization