Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

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Abstract: The Conditional Expectation Function (CEF) is an optimal estimator in real space. Artificial Neural Networks (ANN), as the current state-of-the-art method, lack interpretability. Estimating ...

y <- (x-3)^3 + 3*x - .25*(x^2 * (x-3)) + rnorm(n=10000, mean=0, sd=3) dat <- data.frame(x = x, y = y) One of our most fundamental goals as data scientists is to produce predictions that are *good*. In ...

Paolacci, Gabriele; André, Quentin. Probabilistic Outcomes Are Valued Less in Expectation, Even Conditional on Their Realization. Management Science. Nov2024, Vol. 70 Issue 11, p7524-7536. Most ...

Aug 30 (Reuters) - U.S. consumers see inflation continuing to moderate in the next year, with a gauge of price growth expectations published on Friday at the lowest level in August since late 2020.

Market timing, when properly understood as trading based on conditional expectations rather than forecasting, can be an effective strategy for generating superior risk-adjusted returns. We look at a ...