
FlexiBO: CostAware MultiObjective Optimization of Deep Neural Networks
One of the key challenges in designing machine learning systems is to de...
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Transfer Learning for Performance Modeling of Deep Neural Network Systems
Modern deep neural network (DNN) systems are highly configurable with la...
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The Algorithm Selection Competition Series 201517
The algorithm selection problem is to choose the most suitable algorithm...
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HotRodding the Browser Engine: Automatic Configuration of JavaScript Compilers
Modern software systems in many application areas offer to the user a mu...
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ICON Challenge on Algorithm Selection
We present the results of the ICON Challenge on Algorithm Selection....
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The Inductive Constraint Programming Loop
Constraint programming is used for a variety of realworld optimisation ...
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ASlib: A Benchmark Library for Algorithm Selection
The task of algorithm selection involves choosing an algorithm from a se...
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Ranking Algorithms by Performance
A common way of doing algorithm selection is to train a machine learning...
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Proteus: A Hierarchical Portfolio of Solvers and Transformations
In recent years, portfolio approaches to solving SAT problems and CSPs h...
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LLAMA: Leveraging Learning to Automatically Manage Algorithms
Algorithm portfolio and selection approaches have achieved remarkable im...
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Algorithm Selection for Combinatorial Search Problems: A Survey
The Algorithm Selection Problem is concerned with selecting the best alg...
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Qualitative Modelling via Constraint Programming: Past, Present and Future
Qualitative modelling is a technique integrating the fields of theoretic...
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A framework for largescale distributed AI search across disconnected heterogeneous infrastructures
We present a framework for a largescale distributed eScience Artificial...
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Modelling Constraint Solver Architecture Design as a Constraint Problem
Designing componentbased constraint solvers is a complex problem. Some ...
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Distributed solving through model splitting
Constraint problems can be trivially solved in parallel by exploring dif...
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Machine learning for constraint solver design  A case study for the alldifferent constraint
Constraint solvers are complex pieces of software which require many des...
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Using machine learning to make constraint solver implementation decisions
Programs to solve socalled constraint problems are complex pieces of so...
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The Exact Closest String Problem as a Constraint Satisfaction Problem
We report (to our knowledge) the first evaluation of Constraint Satisfac...
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Dominion  A constraint solver generator
This paper proposes a design for a system to generate constraint solvers...
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Constraint solvers: An empirical evaluation of design decisions
This paper presents an evaluation of the design decisions made in four s...
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