Given a propositional proof system $P$, we may define a formula $\text{Prf}^P_s(F)$ which is satisfiable if and only if the formula $F$ has a length $\leq s$ refutation in $P$. These formulas have received much attention in recent years due to their fundamental nature --- if a powerful proof ... more >>>

For an arbitrary family of predicates $\mathcal{F} \subseteq \{0,1\}^{[q]^k}$ and any $\epsilon > 0$, we prove a single-pass, linear-space streaming lower bound against the gap promise problem of distinguishing instances of Max-CSP$({\mathcal{F}})$ with at most $\beta+\epsilon$ fraction of satisfiable constraints from instances of with at least $\gamma-\epsilon$ fraction of satisfiable ... more >>>

We provide a computational complexity lens to understand the power of machine learning models, particularly their ability to model complex systems.

Machine learning models are often trained on data drawn from sampleable or more complex distributions, a far wider range of distributions than just computable ones. By focusing ... more >>>