A Small Clockwork for Uncertain Things

This is a placeholder for a longer note. Suppose a small mechanism turns noisy observations into a useful signal, provided we resist the urge to make it sound more certain than it is.

An abstract clockwork sketch

The objective can be written in ordinary display math:

$$ \mathcal{L}(\theta) = \frac{1}{n}\sum_{i=1}^{n}\left(y_i - f_\theta(x_i)\right)^2 + \lambda \lVert\theta\rVert_2^2. $$

And a small executable thought can live alongside the prose:

def damped_update(value, gradient, step_size=0.1):
    return value - step_size * gradient / (1.0 + abs(gradient))

The final version can replace this text with an argument, a result, or a question worth keeping open.

Mahdi Kooshkbaghi
Mahdi Kooshkbaghi
Staff Machine Learning Engineer

Machine Learning Engineer building production GenAI and ML systems.

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