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Given a joint distribution $P_{XY}$ of random variables $X,Y$ on finite alphabets, the information
bottleneck method seeks a representation $T$ of $X$ that is as informative as possible about $Y$ while compressing $X$; the privacy funnel asks for a representation that discloses much about $X$ while leaking little about $Y$. ...
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We construct an explicit family of total sign matrices whose sign-rank is exponentially larger than their margin complexity. Previously, no superpolynomial separation was known for total matrices. In particular, we give a quantitative answer to a question of Linial, Mendelson, Schechtman, and Shraibman (Combinatorica, 2007), who asked whether the logarithmic ... more >>>
In Hrubeš' Algebraic Monotone Calculus AMC a DNF tautology $A$ is proved by a monotone arithmetic circuit computing $\chi(A)-\epsilon\cdot\chi(1)$ for some $\epsilon>0$, where $\chi(A)$ is the set-multilinear polynomial whose coefficient at $\mathbf x^{\sigma}$ counts the terms of $A$ satisfied by $\sigma$, and $\chi(1)=\prod_{i\le n}(x_i^0+x_i^1)$. Proof size is circuit size, and ... more >>>
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