Research map / Optimization / Implicit bias and generalization
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
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Closest papers by meaning
- Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization (ICLR 2019 · similarity 0.91)
- Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity (NeurIPS 2026 · similarity 0.88)
- Implicit Bias of Mirror Flow on Separable Data (NeurIPS 2024 · similarity 0.88)
- Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning (NeurIPS 2026 · similarity 0.87)
- Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling (ICML 2024 · similarity 0.87)
- Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data (NeurIPS 2025 · similarity 0.86)
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