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VITA: Variational Inference Transformer for Asymmetric Data

Published:

A decoder-free variational pretraining framework for time-series forecasting under feature asymmetry. VITA learns latent representations that bridge the gap between rich training features and limited deployment features, using a transformer encoder with a seasonal prior. Applied to agricultural yield forecasting, VITA achieves R² = 0.726 on extreme weather years, training in <2.5 hours on a single GPU.

Linear Regression as a System of Linear Equations

Published:

A systematic treatment of linear regression from the perspective of solving linear systems. We characterize when exact solutions exist based on rank conditions and derive the closed-form solution ($X^T X)^{-1} X^T y$. In the regression setting with noise, this formula emerges as both the least-squares minimizer and the maximum likelihood estimator.

Schema Search MCP Server

Published:

Natural language search for relational schemas with millisecond latency.

Geometric Interpretration of the Cauchy–Schwarz Inequality

Published:

How Pythagoras and positive definiteness geometrically prove the Cauchy–Schwarz inequality. The inequality simply states that projecting a vector onto another cannot increase its length. This geometric perspective reveals that Cauchy–Schwarz represents the cosine of an angle between vectors, connecting it to the law of cosines and Pearson correlation.

When Does No Correlation Imply Independence?

Published:

Zero correlation does not always imply independence. However, if two random variables have exponentially decaying tails and all their mixed polynomial covariances vanish, then they must be independent. The proof uses moment generating functions to extend polynomial factorization to the full distribution.

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