885 citations · 3.3k across the 27 of their papers we have counts for
3 papers · 1 filter
Bayesian Optimization With Censored Response Data
Frank Hutter, Holger Hoos, Kevin Leyton-Brown
Bayesian optimization (BO) aims to minimize a given blackbox function using a model that is updated whenever new evidence about the function becomes available. Here, we address the…
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…