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Many real world applications can be framed as multi-objective optimization problems, where we wish to simultaneously optimize for multiple criteria.
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
William R Thompson · 1933
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Lipschitzian optimization without the Lipschitz constant
Donald R Jones, Cary D Perttunen, and Bruce E Stuckman · 1993
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Rapid object detection using a boosted cascade of simple features
Paul Viola and Michael Jones · 2001
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Using confidence bounds for exploitation-exploration trade-offs
Peter Auer · 2002
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Integrating user preferences into evolutionary multi-objective optimization
Jürgen Branke and Kalyanmoy Deb · 2005
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Reference point based multi-objective optimization using evolutionary algorithms
Kalyanmoy Deb and J Sundar · 2006
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Posterior consistency of Gaussian process prior for nonparametric binary regression
Subhashis Ghosal and Anindya Roy · 2006
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ParEGO: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
Joshua Knowles · 2006
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Gaussian processes for machine learning. 2006
Carl Edward Rasmussen and Christopher KI Williams · 2006
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Active policy learning for robot planning and exploration under uncertainty
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, and José A Castellanos · 2007
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Controlling dominance area of solutions and its impact on the performance of moeas
Hiroyuki Sato, Hernán E Aguirre, and Kiyoshi Tanaka · 2007
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Moea/d: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang and Hui Li · 2007
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Consideration of partial user preferences in evolutionary multiobjective optimization
Jürgen Branke · 2008
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The computation of the expected improvement in dominated hypervolume of Pareto front approximations
Michael Emmerich and Jan-willem Klinkenberg · 2008
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Evolutionary many-objective optimization: A short review
Hisao Ishibuchi, Noritaka Tsukamoto, and Yusuke Nojima · 2008
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Practical Bayesian optimization
Daniel James Lizotte · 2008
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Multiobjective optimization on a limited budget of evaluations using model-assisted 𝒮 \mathcal{S} -metric selection
Wolfgang Ponweiser, Tobias Wagner, Dirk Biermann, and Markus Vincze · 2008
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Optimal transport: old and new
Cédric Villani · 2008
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Sequential approximate multiobjective optimization using computational intelligence
Hirotaka Nakayama, Yeboon Yun, and Min Yoon · 2009
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A preference-based evolutionary algorithm for multi-objective optimization
Lothar Thiele, Kaisa Miettinen, Pekka J Korhonen, and Julian Molina · 2009
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Gaussian process optimization in the bandit setting: no regret and experimental design
Niranjan Srinivas, Andreas Krause, Sham Kakade, and Matthias Seeger · 2010
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Expensive multiobjective optimization by moea/d with Gaussian process model
Bayesian optimization for synthetic gene design
Javier González, Joseph Longworth, David C James, and Neil D Lawrence · 2015
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High dimensional Bayesian optimisation and bandits via additive models
Kirthevasan Kandasamy, Jeff Schneider, and Barnabás Póczos · 2015
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Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction
Victor Picheny · 2015
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Quality assessment of MORL algorithms: A utility-based approach
Luisa M Zintgraf, Timon V Kanters, Diederik M Roijers, Frans A Oliehoek, and Philipp Beau · 2015
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Predictive entropy search for multi-objective Bayesian optimization with constraints
Eduardo C Garrido-Merchán and Daniel Hernández-Lobato · 2016
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Qingfu Zhang, Wudong Liu, Edward Tsang, and Botond Virginas · 2010
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Regret analysis of stochastic and nonstochastic multi-armed bandit problems
Sébastien Bubeck, Nicolo Cesa-Bianchi, et al · 2012
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Learning probability measures with respect to optimal transport metrics
Guillermo Canas and Lorenzo Rosasco · 2012
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Preference-based solution selection algorithm for evolutionary multiobjective optimization
Jong-Hwan Kim, Ji-Hyeong Han, Ye-Hoon Kim, Seung-Hwan Choi, and Eun-Soo Kim · 2012
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Practical Bayesian optimization of machine learning algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P Adams · 2012
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A survey of multi-objective sequential decision-making
Diederik M Roijers, Peter Vamplew, Shimon Whiteson, and Richard Dazeley · 2013
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Active learning for multi-objective optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause, and Markus Püschel · 2013
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Predictive entropy search for multi-objective Bayesian optimization
Daniel Hernández-Lobato, Jose Hernandez-Lobato, Amar Shah, and Ryan Adams · 2016
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Preference-based multiobjective optimization using truncated expected hypervolume improvement
Kaifeng Yang, Longmei Li, André Deutz, Thomas Back, and Michael Emmerich · 2016
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ε \varepsilon -pal: an active learning approach to the multi-objective optimization problem
Marcela Zuluaga, Andreas Krause, and Markus Püschel · 2016
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On using decision maker preferences with ParEGO
Jussi Hakanen and Joshua D Knowles · 2017
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Parallel and distributed Thompson sampling for large-scale accelerated exploration of chemical space
José Miguel Hernández-Lobato, James Requeima, Edward O Pyzer-Knapp, and Alán Aspuru-Guzik · 2017
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Query efficient posterior estimation in scientific experiments via Bayesian active learning
Kirthevasan Kandasamy, Jeff Schneider, and Barnabás Póczos · 2017
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Interactive Thompson sampling for multi-objective multi-armed bandits
Diederik M Roijers, Luisa M Zintgraf, and Ann Nowé · 2017
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Parallelised Bayesian optimisation via Thompson sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider, and Barnabás Póczos · 2018
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Interactive multi-objective reinforcement learning in multi-armed bandits for any utility function
Diederik M Roijers, Luisa M Zintgraf, Pieter Libin, and Ann Nowé · 2018
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Ordered preference elicitation strategies for supporting multi-objective decision making
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