- tags
- Mathematics, Applied maths
Optimization
Links to this note
- Automatic differentiation
- Frank-Wolfe algorithm
- Genetic algorithms
- Gradient descent
- Gradient descent for wide two-layer neural networks – I : Global convergence
- Gradient flow
- Linear programming
- Neural network training
- Notes on: Large Language Models as Optimizers by Yang, C., Wang, X., Lu, Y., Liu, H., Le, Q. V., Zhou, D., & Chen, X. (2023)
- Notes on: Learned Initializations for Optimizing Coordinate-Based Neural Representations by Tancik, M., Mildenhall, B., Wang, T., Schmidt, D., Srinivasan, P. P., Barron, J. T., & Ng, R. (2021)
- Notes on: Meta-Harness: End-to-End Optimization of Model Harnesses by Lee, Y., Nair, R., Zhang, Q., Lee, K., Khattab, O., & Finn, C. (2026)
- Notes on: The geometry of integration in text classification RNNs by Aitken, K., Ramasesh, V. V., Garg, A., Cao, Y., Sussillo, D., & Maheswaranathan, N. (2020)
- Ordinary least squares
- Projection on convex sets
- Supervised learning
Last changed | authored by Hugo Cisneros
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