885 citations · 2.4k across the 41 of their papers we have counts for
4 papers · 1 filter
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter, Lin Xu, Holger H. Hoos +1
Perhaps surprisingly, it is possible to predict how long an algorithm will take to run on a previously unseen input, using machine learning techniques to build a model of the algor…
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
Chris Thornton, Frank Hutter, Holger H. Hoos +1
Many different machine learning algorithms exist; taking into account each algorithm's hyperparameters, there is a staggeringly large number of possible alternatives overall. We co…
Computing Nash Equilibria of Action-Graph Games
Navin Bhat, Kevin Leyton-Brown
Action-graph games (AGGs) are a fully expressive game representation which can compactly express both strict and context-specific independence between players' utility functions. A…
Temporal Action-Graph Games: A New Representation for Dynamic Games
Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer
In this paper we introduce temporal action graph games (TAGGs), a novel graphical representation of imperfect-information extensive form games. We show that when a game involves an…