The Strong Exponential Time Hypothesis and the OV-conjecture are two popular hardness assumptions used to prove a plethora of lower bounds, especially in the realm of polynomial-time algorithms. The OV-conjecture in moderate dimension States there is no > 0 for which an O(N2−ε) poly(D) time algorithm can decide whether there is a pair of orthogonal vectors in a given set of size N that contains D-dimensional binary vectors. We strengthen the evidence for these hardness assumptions. In particular, we show that if the OV-conjecture fails, then two problems for which we are far from obtaining even tiny improvements over exhaustive search would have surprisingly fast algorithms. If the OV conjecture is false, then there is a fixed > 0 suc...
Fine-grained complexity theory is the area of theoretical computer sciencethat proves conditional lo...
The 1980’s was a golden period for Boolean circuit complexity lower bounds. There were major breakth...
The field of exact exponential time algorithms for non-deterministic polynomial-time hard problems h...
The Strong Exponential Time Hypothesis and the OV-conjecture are two popular hardness assumptions us...
The Strong Exponential Time Hypothesis and the OV-conjecture are two popular hardness assumptions us...
© Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) g...
The quest for fast exact exponential-time algorithms and fast parameterized al-gorithms for NP-hard ...
The Strong Exponential Time Hypothesis (SETH) asserts that for every $\varepsilon>0$ there exists $k...
The quest for fast exact exponential-time algorithms and fast parameterized algorithms for NP-hard p...
In this paper, we introduce a general framework for fine-grained reductions of approximate counting ...
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problem...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
The 1980's was a golden period for Boolean circuit complexity lower bounds. There were major br...
We formalize and study the question of whether there are inherent difficulties to showing lower boun...
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problem...
Fine-grained complexity theory is the area of theoretical computer sciencethat proves conditional lo...
The 1980’s was a golden period for Boolean circuit complexity lower bounds. There were major breakth...
The field of exact exponential time algorithms for non-deterministic polynomial-time hard problems h...
The Strong Exponential Time Hypothesis and the OV-conjecture are two popular hardness assumptions us...
The Strong Exponential Time Hypothesis and the OV-conjecture are two popular hardness assumptions us...
© Josh Alman and Virginia Vassilevska Williams. A graph G on n nodes is an Orthogonal Vectors (OV) g...
The quest for fast exact exponential-time algorithms and fast parameterized al-gorithms for NP-hard ...
The Strong Exponential Time Hypothesis (SETH) asserts that for every $\varepsilon>0$ there exists $k...
The quest for fast exact exponential-time algorithms and fast parameterized algorithms for NP-hard p...
In this paper, we introduce a general framework for fine-grained reductions of approximate counting ...
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problem...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
The 1980's was a golden period for Boolean circuit complexity lower bounds. There were major br...
We formalize and study the question of whether there are inherent difficulties to showing lower boun...
We introduce techniques for proving superlinear conditional lower bounds for polynomial time problem...
Fine-grained complexity theory is the area of theoretical computer sciencethat proves conditional lo...
The 1980’s was a golden period for Boolean circuit complexity lower bounds. There were major breakth...
The field of exact exponential time algorithms for non-deterministic polynomial-time hard problems h...