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Electronic Colloquium on Computational Complexity

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TR24-066 | 29th March 2024
Siu On Chan, Hiu Tsun Ng, Sijin Peng

How Random CSPs Fool Hierarchies

Revisions: 2

Relaxations for the constraint satisfaction problem (CSP) include bounded width, linear program (LP), semidefinite program (SDP), afinfe integer program (AIP), and the combined LP+AIP of Brakensiek, Guruswami, Wrochna, and Živný (SICOMP 2020). Tightening relaxations systematically leads to hierarchies and stronger algorithms. For the LP+AIP hierarchy, a constant level lower bound ... more >>>


TR24-065 | 6th April 2024
Meghal Gupta, Mihir Singhal, Hongxun Wu

Optimal quantile estimation: beyond the comparison model

Estimating quantiles is one of the foundational problems of data sketching. Given $n$ elements $x_1, x_2, \dots, x_n$ from some universe of size $U$ arriving in a data stream, a quantile sketch estimates the rank of any element with additive error at most $\varepsilon n$. A low-space algorithm solving this ... more >>>


TR24-064 | 1st April 2024
Yuting Fang, Lianna Hambardzumyan, Nathaniel Harms, Pooya Hatami

No Complete Problem for Constant-Cost Randomized Communication

We prove that the class of communication problems with public-coin randomized constant-cost protocols, called $BPP^0$, does not contain a complete problem. In other words, there is no randomized constant-cost problem $Q \in BPP^0$, such that all other problems $P \in BPP^0$ can be computed by a constant-cost deterministic protocol with ... more >>>



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