Reconciling modern machine-learning practice and the classical bias–variance trade-off

• Bad Estimation, Good Prediction: The Lasso in Dense Regimes

  2025 The American Statistician article Mathematics Statistical Methods and Inference Open access

  1

  citations
• Double Descent in Quantum Kernel Methods

  2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

  1

  citations
• Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony

  2025 Proceedings of the National Academy of Sciences article Arts and Humanities Philosophy and History of Science Open access

  27

  citations
• Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony

  2024 preprint Arts and Humanities Philosophy and History of Science Open access

  6

  citations
• Deconvolution with neural grid compression: A method to accurately and quickly process beamforming results

  2023 The Journal of the Acoustical Society of America article Computer Science Speech and Audio Processing

  12

  citations
• Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

  2022 Astronomy and Astrophysics article Physics and Astronomy Radio Astronomy Observations and Technology Open access

  14

  citations
• AutoML Loss Landscapes

  2022 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Machine Learning and Data Classification cited by 1 patent

  16

  citations
• The loss landscape of deep linear neural networks: a second-order analysis

  2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

  1

  citations

8 results