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Holger H. Hoos
Person information

- affiliation: RWTH Aachen University, Computer Science Department, Aachen, Germany
- affiliation: Leiden University, LIACS, The Netherlands
- affiliation: University of British Columbia, Vancouver, BC, Canada
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2020 – today
- 2023
- [j72]Yi Chu
, Chuan Luo
, Holger H. Hoos
, Haihang You
:
Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization. Expert Syst. Appl. 213(Part): 118913 (2023) - [i30]Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider:
Artificial intelligence to advance Earth observation: a perspective. CoRR abs/2305.08413 (2023) - 2022
- [j71]Jaco Tetteroo, Mitra Baratchi
, Holger H. Hoos:
Automated Machine Learning for COVID-19 Forecasting. IEEE Access 10: 94718-94737 (2022) - [j70]Anna L. D. Latour
, Behrouz Babaki
, Daniël Fokkinga
, Marie Anastacio
, Holger H. Hoos, Siegfried Nijssen
:
Exact stochastic constraint optimisation with applications in network analysis. Artif. Intell. 304: 103650 (2022) - [j69]Tijl De Bie, Luc De Raedt
, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams:
Automating data science. Commun. ACM 65(3): 76-87 (2022) - [j68]Laurens Arp
, Mitra Baratchi
, Holger H. Hoos:
VPint: value propagation-based spatial interpolation. Data Min. Knowl. Discov. 36(5): 1647-1678 (2022) - [j67]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
:
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. 29(5): 2735-2736 (2022) - [j66]Matthias König, Holger H. Hoos, Jan N. van Rijn:
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio. Mach. Learn. 111(12): 4565-4584 (2022) - [j65]Koen van der Blom
, Holger H. Hoos, Chuan Luo
, Jeroen G. Rook
:
Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. IEEE Trans. Evol. Comput. 26(6): 1351-1364 (2022) - [j64]Yasha Pushak
, Holger H. Hoos
:
AutoML Loss Landscapes. ACM Trans. Evol. Learn. Optim. 2(3): 10:1-10:30 (2022) - [c133]Reyhan Aydogan
, Tim Baarslag, Katsuhide Fujita
, Holger H. Hoos, Catholijn M. Jonker, Yasser Mohammad, Bram M. Renting:
The 13th International Automated Negotiating Agent Competition Challenges and Results. ACAN@IJCAI 2022: 87-101 - [c132]Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration and Usage of Strategy Portfolios Mixed-Motive Bargaining. AAMAS 2022: 1101-1109 - [c131]Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos:
Opening the Black Box: Automated Software Analysis for Algorithm Selection. AutoML 2022: 6/1-18 - [i29]Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration and Usage of Strategy Portfolios for Bargaining. CoRR abs/2212.10228 (2022) - 2021
- [j63]Gilles Ottervanger
, Mitra Baratchi
, Holger H. Hoos
:
MultiETSC: automated machine learning for early time series classification. Data Min. Knowl. Discov. 35(6): 2602-2654 (2021) - [j62]Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe
, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci
, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea:
The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. 23(S1): 127-133 (2021) - [c130]Théo Matricon
, Marie Anastacio
, Nathanaël Fijalkow
, Laurent Simon
, Holger H. Hoos
:
Statistical Comparison of Algorithm Performance Through Instance Selection. CP 2021: 43:1-43:21 - [c129]Alex Serban, Koen van der Blom
, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. WAIN@ICSE 2021: 97-100 - [c128]Bruno Veloso
, Luciano Caroprese
, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama:
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) 2021: 249-264 - [c127]Zhendong Lei, Shaowei Cai, Chuan Luo, Holger H. Hoos:
Efficient Local Search for Pseudo Boolean Optimization. SAT 2021: 332-348 - [p9]Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Automated Configuration and Selection of SAT Solvers. Handbook of Satisfiability 2021: 481-507 - [p8]Andreas Dengel, Oren Etzioni, Nicole DeCario, Holger H. Hoos, Li Fei-Fei, Junichi Tsujii, Paolo Traverso:
Next Big Challenges in Core AI Technology. Reflections on Artificial Intelligence for Humanity 2021: 90-115 - [i28]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Practices for Engineering Trustworthy Machine Learning Applications. CoRR abs/2103.00964 (2021) - [i27]Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams:
Automating Data Science: Prospects and Challenges. CoRR abs/2105.05699 (2021) - [i26]Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag:
Frugal Machine Learning. CoRR abs/2111.03731 (2021) - 2020
- [j61]Sam Bayless, Nodir Kodirov, Syed M. Iqbal, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu:
Scalable constraint-based virtual data center allocation. Artif. Intell. 278 (2020) - [j60]Yasha Pushak, Zongxu Mu, Holger H. Hoos:
Empirical scaling analyzer: An automated system for empirical analysis of performance scaling. AI Commun. 33(2): 93-111 (2020) - [j59]Zeynep Akata, Dan Balliet, Maarten de Rijke
, Frank Dignum, Virginia Dignum
, Guszti Eiben, Antske Fokkens
, Davide Grossi
, Koen V. Hindriks
, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek
, Henry Prakken, Stefan Schlobach
, Linda C. van der Gaag, Frank van Harmelen
, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij
, Piek Vossen
, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j58]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(1): 697-698 (2020) - [j57]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(2): 1263-1264 (2020) - [j56]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(3): 1806-1807 (2020) - [j55]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(4): 2253-2254 (2020) - [j54]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(5): 2685-2686 (2020) - [j53]Lindsey Burggraaff
, Eelke B. Lenselink, Willem Jespers
, Jesper E. van Engelen, Brandon J. Bongers
, Marina Gorostiola González
, Rongfang Liu, Holger H. Hoos, Herman W. T. van Vlijmen
, Adriaan P. IJzerman, Gerard J. P. van Westen
:
Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors. J. Chem. Inf. Model. 60(9): 4283-4295 (2020) - [j52]Jesper E. van Engelen
, Holger H. Hoos
:
A survey on semi-supervised learning. Mach. Learn. 109(2): 373-440 (2020) - [c126]Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration of Negotiation Strategies. AAMAS 2020: 1116-1124 - [c125]Alex Serban, Koen van der Blom
, Holger H. Hoos, Joost Visser:
Adoption and Effects of Software Engineering Best Practices in Machine Learning. ESEM 2020: 3:1-3:12 - [c124]Yasha Pushak, Holger H. Hoos:
Advanced statistical analysis of empirical performance scaling. GECCO 2020: 236-244 - [c123]Yasha Pushak, Holger H. Hoos:
Golden parameter search: exploiting structure to quickly configure parameters in parallel. GECCO 2020: 245-253 - [c122]Marie Anastacio
, Holger H. Hoos:
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling. GECCO Companion 2020: 301-302 - [c121]Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci
, Laetitia Jourdan:
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) 2020: 65-77 - [c120]Marie Anastacio
, Holger H. Hoos:
Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling. PPSN (1) 2020: 95-110 - [c119]Chuan Luo, Holger H. Hoos, Shaowei Cai
:
PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation. PPSN (1) 2020: 373-389 - [c118]Jesper E. van Engelen, Holger H. Hoos:
Semi-supervised Co-ensembling for AutoML. TAILOR 2020: 229-250 - [i25]Yi Chu, Chuan Luo, Holger H. Hoos, Qingwei Lin, Haihang You:
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. CoRR abs/2002.11909 (2020) - [i24]Bram M. Renting
, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration of Negotiation Strategies. CoRR abs/2004.00094 (2020) - [i23]Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser:
Adoption and Effects of Software Engineering Best Practices in Machine Learning. CoRR abs/2007.14130 (2020)
2010 – 2019
- 2019
- [j51]Holger H. Hoos, Frank Neumann, Heike Trautmann:
Foreword. Evol. Comput. 27(1): 1-2 (2019) - [j50]Pascal Kerschke, Holger H. Hoos, Frank Neumann
, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. 27(1): 3-45 (2019) - [j49]Aymeric Blot
, Marie-Eléonore Marmion
, Laetitia Jourdan
, Holger H. Hoos:
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. Evol. Comput. 27(1): 147-171 (2019) - [j48]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 26(6): 2580-2581 (2019) - [c117]Camille Pageau, Aymeric Blot
, Holger H. Hoos, Marie-Eléonore Kessaci
, Laetitia Jourdan
:
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO 2019: 565-577 - [c116]Chuan Luo, Holger H. Hoos, Shaowei Cai
, Qingwei Lin, Hongyu Zhang
, Dongmei Zhang:
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. IJCAI 2019: 1297-1304 - [c115]Can Wang, Thomas Bäck
, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer:
Automated Machine Learning for Short-term Electric Load Forecasting. SSCI 2019: 314-321 - [p7]Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA. Automated Machine Learning 2019: 81-95 - 2018
- [j47]Andrea F. Bocchese, Chris Fawcett, Mauro Vallati
, Alfonso Emilio Gerevini, Holger H. Hoos:
Performance robustness of AI planners in the 2014 International Planning Competition. AI Commun. 31(6): 445-463 (2018) - [j46]Pascal Kerschke, Lars Kotthoff
, Jakob Bossek
, Holger H. Hoos, Heike Trautmann:
Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. 26(4) (2018) - [j45]Zongxu Mu, Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle:
On the empirical scaling of running time for finding optimal solutions to the TSP. J. Heuristics 24(6): 879-898 (2018) - [j44]Katharina Eggensperger
, Marius Lindauer
, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Efficient benchmarking of algorithm configurators via model-based surrogates. Mach. Learn. 107(1): 15-41 (2018) - [c114]Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu:
VNF chain allocation and management at data center scale. ANCS 2018: 125-140 - [c113]Nodir Kodirov, Sam Bayless, Fabian Ruffy, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu:
VNF chain abstraction for cloud service providers. ANCS 2018: 165-166 - [c112]Holger H. Hoos, Tomás Peitl, Friedrich Slivovsky, Stefan Szeider:
Portfolio-Based Algorithm Selection for Circuit QBFs. CP 2018: 195-209 - [c111]Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little:
LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization. ECCV (16) 2018: 508-523 - [c110]Aymeric Blot
, Holger H. Hoos, Marie-Eléonore Kessaci
, Laetitia Jourdan:
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI 2018: 571-578 - [c109]Lars Kotthoff
, Alexandre Fréchette, Tomasz P. Michalak
, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown:
Quantifying Algorithmic Improvements over Time. IJCAI 2018: 5165-5171 - [c108]Yasha Pushak, Holger H. Hoos:
Algorithm Configuration Landscapes: - More Benign Than Expected? PPSN (2) 2018: 271-283 - [p6]Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Selection and Configuration of Parallel Portfolios. Handbook of Parallel Constraint Reasoning 2018: 583-615 - [p5]Holger H. Hoos, Thomas Stützle:
Empirical Analysis of Randomised Algorithms. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 225-242 - [p4]Holger H. Hoos, Thomas Stützle:
Stochastic Local Search. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 297-307 - [i22]Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. CoRR abs/1811.11597 (2018) - [i21]Tijl De Bie, Luc De Raedt
, Holger H. Hoos, Padhraic Smyth:
Automating Data Science (Dagstuhl Seminar 18401). Dagstuhl Reports 8(9): 154-181 (2018) - 2017
- [j43]Frank Hutter, Marius Lindauer
, Adrian Balint, Sam Bayless, Holger H. Hoos
, Kevin Leyton-Brown
:
The Configurable SAT Solver Challenge (CSSC). Artif. Intell. 243: 1-25 (2017) - [j42]Marius Lindauer
, Holger H. Hoos
, Kevin Leyton-Brown
, Torsten Schaub
:
Automatic construction of parallel portfolios via algorithm configuration. Artif. Intell. 244: 272-290 (2017) - [j41]Mattia Rizzini, Chris Fawcett, Mauro Vallati
, Alfonso Emilio Gerevini, Holger H. Hoos
:
Static and Dynamic Portfolio Methods for Optimal Planning: An Empirical Analysis. Int. J. Artif. Intell. Tools 26(1): 1760006:1-1760006:27 (2017) - [j40]Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. J. Mach. Learn. Res. 18: 25:1-25:5 (2017) - [c107]Andre Biedenkapp, Marius Lindauer
, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos:
Efficient Parameter Importance Analysis via Ablation with Surrogates. AAAI 2017: 773-779 - [c106]Aymeric Blot
, Alexis Pernet, Laetitia Jourdan
, Marie-Éléonore Kessaci-Marmion
, Holger H. Hoos:
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. EMO 2017: 61-76 - [c105]Sam Bayless, Nodir Kodirov, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu:
Scalable Constraint-based Virtual Data Center Allocation. IJCAI 2017: 546-554 - [c104]Marius Lindauer
, Frank Hutter, Holger H. Hoos, Torsten Schaub:
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). IJCAI 2017: 5025-5029 - [c103]Leslie Pérez Cáceres
, Manuel López-Ibáñez
, Holger H. Hoos, Thomas Stützle:
An Experimental Study of Adaptive Capping in irace. LION 2017: 235-250 - [e4]Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger H. Hoos:
Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017. CEUR Workshop Proceedings 1998, CEUR-WS.org 2017 [contents] - [i20]Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown, Frank Hutter:
OASC-2017: *Zilla Submission. OASC 2017: 15-18 - [i19]Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown:
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates. CoRR abs/1703.10342 (2017) - [i18]Chris Fawcett, Lars Kotthoff, Holger H. Hoos:
Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers. CoRR abs/1707.04245 (2017) - 2016
- [j39]Ashiqur R. KhudaBukhsh
, Lin Xu, Holger H. Hoos
, Kevin Leyton-Brown
:
SATenstein: Automatically building local search SAT solvers from components. Artif. Intell. 232: 20-42 (2016) - [j38]Bernd Bischl, Pascal Kerschke, Lars Kotthoff
, Marius Lindauer
, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos
, Frank Hutter, Kevin Leyton-Brown
, Kevin Tierney
, Joaquin Vanschoren
:
ASlib: A benchmark library for algorithm selection. Artif. Intell. 237: 41-58 (2016) - [j37]Chris Fawcett, Holger H. Hoos
:
Analysing differences between algorithm configurations through ablation. J. Heuristics 22(4): 431-458 (2016) - [c102]Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown:
Using the Shapley Value to Analyze Algorithm Portfolios. AAAI 2016: 3397-3403 - [c101]Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little:
Revisiting Additive Quantization. ECCV (2) 2016: 137-153 - [c100]Julieta Martinez, Holger H. Hoos, James J. Little:
Solving Multi-codebook Quantization in the GPU. ECCV Workshops (1) 2016: 638-650 - [c99]Holger H. Hoos:
Taming the Complexity Monster or: How I learned to Stop Worrying and Love Hard Problems. GECCO 2016: 3-4 - [c98]Sam Bayless, Holger H. Hoos, Alan J. Hu:
Scalable, high-quality, SAT-based multi-layer escape routing. ICCAD 2016: 22 - [c97]Chris Cameron, Holger H. Hoos, Kevin Leyton-Brown:
Bias in Algorithm Portfolio Performance Evaluation. IJCAI 2016: 712-719 - [c96]Aymeric Blot
, Holger H. Hoos, Laetitia Jourdan
, Marie-Éléonore Kessaci-Marmion
, Heike Trautmann:
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION 2016: 32-47 - [c95]Zongxu Mu, Holger H. Hoos, Thomas Stützle
:
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers. LION 2016: 157-172 - [c94]Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown
:
Quantifying the Similarity of Algorithm Configurations. LION 2016: 203-217 - [i17]Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). Dagstuhl Reports 6(10): 33-74 (2016) - 2015
- [j36]Marius Lindauer
, Holger H. Hoos, Frank Hutter, Torsten Schaub
:
AutoFolio: An Automatically Configured Algorithm Selector. J. Artif. Intell. Res. 53: 745-778 (2015) - [j35]Holger H. Hoos
, Thomas Stützle
:
On the empirical time complexity of finding optimal solutions vs proving optimality for Euclidean TSP instances. Optim. Lett. 9(6): 1247-1254 (2015) - [j34]Holger H. Hoos
, Roland Kaminski, Marius Lindauer
, Torsten Schaub
:
aspeed: Solver scheduling via answer set programming. Theory Pract. Log. Program. 15(1): 117-142 (2015) - [c93]Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown:
Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. AAAI 2015: 1114-1120 - [c92]Sam Bayless, Noah Bayless, Holger H. Hoos, Alan J. Hu:
SAT Modulo Monotonic Theories. AAAI 2015: 3702-3709 - [c91]Marius Lindauer
, Holger H. Hoos, Frank Hutter, Torsten Schaub:
AutoFolio: Algorithm Configuration for Algorithm Selection. AAAI Workshop: Algorithm Configuration 2015 - [c90]Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle
:
On the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSP. GECCO 2015: 377-384 - [c89]Zongxu Mu, Holger H. Hoos:
Empirical Scaling Analyser: An Automated System for Empirical Analysis of Performance Scaling. GECCO (Companion) 2015: 771-772 - [c88]Mattia Rizzini, Chris Fawcett, Mauro Vallati
, Alfonso Emilio Gerevini, Holger H. Hoos:
Portfolio Methods for Optimal Planning: An Empirical Analysis. ICTAI 2015: 494-501 - [c87]Zongxu Mu, Holger H. Hoos:
On the Empirical Time Complexity of Random 3-SAT at the Phase Transition. IJCAI 2015: 367-373 - [c86]Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown:
Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract). IJCAI 2015: 4197-4201 - [c85]Marius Lindauer, Holger H. Hoos, Frank Hutter:
From Sequential Algorithm Selection to Parallel Portfolio Selection. LION 2015: 1-16 - [c84]Sepp Hartung, Holger H. Hoos:
Programming by Optimisation Meets Parameterised Algorithmics: A Case Study for Cluster Editing. LION 2015: 43-58 - [c83]Lars Kotthoff
, Pascal Kerschke, Holger H. Hoos, Heike Trautmann:
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION 2015: 202-217 - [c82]Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little:
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV 2015: 566-571 - [p3]Holger H. Hoos, Thomas Stützle
:
Stochastic Local Search Algorithms: An Overview. Handbook of Computational Intelligence 2015: 1085-1105 - [i16]