881 citations · 1.1k across the 4 of their papers we have counts for
4 papers
Evaluating Las Vegas Algorithms - Pitfalls and Remedies
Holger H. Hoos, Thomas Stutzle
Stochastic search algorithms are among the most sucessful approaches for solving hard combinatorial problems. A large class of stochastic search approaches can be cast into the fra…
Reasoning With Conditional Ceteris Paribus Preference Statem
Craig Boutilier, Ronen I. Brafman, Holger H. Hoos +1
In many domains it is desirable to assess the preferences of users in a qualitative rather than quantitative way. Such representations of qualitative preference orderings form an i…
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…
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
C. Boutilier, R. I. Brafman, C. Domshlak +2
Information about user preferences plays a key role in automated decision making. In many domains it is desirable to assess such preferences in a qualitative rather than quantitati…