72 citations · 84 across the 7 of their papers we have counts for
7 papers
Practical, Utilitarian Algorithm Configuration
Devon Graham, Eros Rojas Velez, Kevin Leyton-Brown
Utilitarian algorithm configuration identifies a parameter setting for a given algorithm that maximizes a user's utility. Utility functions offer a theoretically well-grounded appr…
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
Devon Graham, Kevin Leyton-Brown
Utilitarian algorithm configuration is a general-purpose technique for automatically searching the parameter space of a given algorithm to optimize its performance, as measured by…
Utilitarian Algorithm Configuration
Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
We present the first nontrivial procedure for configuring heuristic algorithms to maximize the utility provided to their end users while also offering theoretical guarantees about…
Formalizing Preferences Over Runtime Distributions
Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden
When trying to solve a computational problem, we are often faced with a choice between algorithms that are guaranteed to return the right answer but differ in their runtime distrib…
Equivariant Entity-Relationship Networks
Devon Graham, Junhao Wang, Siamak Ravanbakhsh
The relational model is a ubiquitous representation of big-data, in part due to its extensive use in databases. In this paper, we propose the Equivariant Entity-Relationship Networ…
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier +1
Algorithm configuration methods optimize the performance of a parameterized heuristic algorithm on a given distribution of problem instances. Recent work introduced an algorithm co…