Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.
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Updated
Oct 25, 2026 - Jupyter Notebook
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hypergradient
Here are 4 public repositories matching this topic...
Code for ICCV'25 paper: Learn2Synth: Learning Optimal Data Synthesis using Hypergradients for Brain Image Segmentation
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Oct 22, 2025 - Python
Code for the paper Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates by Riccardo Grazzi, Massimiliano Pontil and Saverio Salzo (ICML 2024).
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Jun 4, 2024 - Jupyter Notebook
Learning-rate research: can the optimizer learn its own LR? Literature review of 28 papers, math notes, small PyTorch experiments, and an HD-WSD (hypergradient + warmup-stable-decay) prototype.
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Sep 28, 2026 - Python
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