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Electronic Colloquium on Computational Complexity

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TR21-134 | 19th August 2021
Siddharth Bhaskar

A refinement of the Meyer-McCreight Union Theorem

For a function $t : 2^\star \to 1^\star$, let $C_t$ be the set of problems decidable on input $x$ in time at most $t(x)$ almost everywhere. The Union Theorem of Meyer and McCreight asserts that any union $\bigcup_{i < \omega} C_{t_i}$ for a uniformly recursive sequence of bounds $t_i$ is ... more >>>


TR21-133 | 12th September 2021
Oded Goldreich, Dana Ron

Testing Distributions of Huge Objects

Revisions: 3

We initiate a study of a new model of property testing that is a hybrid of testing properties of distributions and testing properties of strings.
Specifically, the new model refers to testing properties of distributions, but these are distributions over huge objects (i.e., very long strings).
Accordingly, the ... more >>>


TR21-132 | 11th September 2021
Eric Binnendyk

Pseudo-random functions and uniform learnability

Revisions: 1

Boolean circuits are a model of computation. A class of Boolean circuits is called a polynomial class if the number of nodes is bounded by a polynomial function of the number of input variables. A class $C_n[s(n)]$ of Boolean functions is called learnable if there are algorithms that can approximate ... more >>>



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