WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.
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Nov 1, 2024 - Python
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gradient-method
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Gradient method, Newton method, Euler and Heun method, discrete Fourier transform and Monte Carlo simulation in C++
cpp
monte-carlo-simulation
numerical-methods
fourier-transform
euler-method
newton-method
gradient-method
heun-method
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May 22, 2022 - C++
Optimisation and algorithm project. I) L1, L2, and L2^2 regularisers in optimal trajectory synthesis; II) Logistic data classification; III) Gradient methods.
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Nov 28, 2022 - MATLAB
Implementation of unconstrained and constrained convex optimization algorithms in Python, focusing on solving data science problems such as semi-supervised learning and Support Vector Machines.
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May 30, 2024 - Jupyter Notebook
AutoSGM
deep-learning
controller
optimization
signal-processing
artificial-intelligence
neural-networks
gradient-descent
stochastic-gradient-descent
gradient-method
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Jul 3, 2024 - Python
An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method
gradient-descent
stochastic-gradient-descent
batch-gradient-descent
mathematical-methods
gradient-method
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Nov 8, 2021 - Jupyter Notebook
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