Computational learning theory is an area of algorithms research devoted to the following task: given a source of “examples” $(x, f(x))$ from an unknown function $f$, compute a “hypothesis” function $h$ which is good at predicting $f(y)$ on future inputs $y$. We will focus on just one possible formulation of the task:

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Chin Ho Lee: "(The error will be proportional to \sum_i (||X_i||^3 + ||Y_...Avishay Yanay: In the equation of theorem 9, the sum limits are $S\subseteq...Avishay Yanay: #16 What is z^T?F. Mann: The Noise Stability of constant functions have NS=0, as it i...Chin Ho Lee: In Example 42, the first Sel(x_1, x_2, x_2) should be Sel(x_...jake wellens: In Ex. 31 (b), I think we should replace $1/M$ by something ...Grigory Yaroslavtsev: Nice, hope you enjoyed your visit :)