BayesOpt 2017

Accepted papers

Below will be the papers accepted for the 2017 workshop. For papers accepted at previous workshops look here.

• Batched Large-scale Bayesian Optimization in High-dimensional Spaces
  Zi Wang, MIT; Clement Gehring, MIT; Pushmeet Kohli, DeepMind; Stefanie Jegelka, MIT (pdf)
• Information-Based Multi-Fidelity Bayesian Optimization
  Yehong Zhang, National University of Singapore; Trong Nghia Hoang, MIT; Kian Hsiang Low, National University of Singapore ; Mohan Kankanhalli, National University of Singapore, (pdf)
• Context-Dependent Bayesian Optimization in Real-Time Optimal Control: A Case Study in Airborne Wind Energy Systems
  Ali Baheri, UNC Charlotte (pdf)
• Constrained Bayesian Optimization for Automatic Chemical Design
  Ryan-Rhys Griffiths, University of Cambridge; Jose-Miguel Hernandez-Lobato, University of Cambridge (pdf)
• Learning to Transfer Initializations for Bayesian Hyperparameter Optimization
  Jungtaek Kim, POSTECH; Saehoon Kim, POSTECH; Seungjin Choi, POSTECH (pdf)
• Bayesian Optimization of Unimodal Functions
  Michael Andersen, Aalto University; Eero Siivola, Aalto University; Aki Vehtari, Aalto University (pdf)
• Bayesian Adaptive Direct Search: Hybrid Bayesian Optimization for Model Fitting
  Luigi Acerbi, New York University; Wei Ji Ma, New York University (pdf)
• Efficient nonmyopic batch active search
  Shali Jiang, Washington University in St. Louis; Gustavo Malkomes, Washington University in St. Louis; Matthew Abbott, Washington University in St. Louis; Benjamin Moseley, Washington University in St. Louis; Roman Garnett, Washington University in St. Louis (pdf)
• Predictive Variance Reduction Search
  Vu Nguyen, Deakin University; Sunil Gupta, Deakin University, Australia; Santu Rana, Deakin University, Australia; Cheng Li, Deakin University; Svetha Venkatesh, Deakin University (pdf)
• Distance Exploration for Scalable Batch Bayesian Optimization
  Vu Nguyen, Deakin University; Sunil Gupta, Deakin University, Australia; Santu Rana, Deakin University, Australia; Cheng Li, Deakin University; Svetha Venkatesh, Deakin University (pdf)
• Bayesian Optimization Under Uncertainty
  Justin Beland, University of Toronto; Prasanth Nair, University of Toronto (pdf)
• Bayesian Optimization with Monotonicity Information
  Cheng Li, Deakin University; Santu Rana, Deakin University, Australia; Sunil Gupta, Deakin University, Australia; Vu Nguyen, Deakin University; Svetha Venkatesh, Deakin University (pdf)
• Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
  Eero Siivola, Aalto University; aki Vehtari, Aalto University; Javier Gonzalez, Amazon.com; Jarno Vanhatalo, University of Helsinki (pdf) (supplementary)
• Fast Information-theoretic Bayesian Optimisation
  Binxin Ru, University of Oxford; Michael A. Osborne, University of Oxford; Mark Mcleod, University of Oxford (pdf) (supplementary)
• Finding minimum energy paths using Gaussian process regression
  Olli-Pekka Koistinen, Aalto University; aki Vehtari, Aalto University (pdf)
• Continuous-Fidelity Bayesian Optimization with Knowledge Gradient
  Jian Wu, Cornell University; Peter Frazier, Cornell University (pdf)
• Probabilistic Optimization with Latent Search for Automatic Model Selection
  Xiaoyu Lu, University of Oxford; Javier Gonzalez, Amazon.com; Zhenwen Dai, Amazon; Neil Lawrence, Amazon (pdf)
• RoBO: A Flexible and Robust Bayesian Optimization Framework in Python
  Aaron Klein, Universität Freiburg; Stefan Falkner, University of Freiburg; Numair Mansur, University of Freiburg; Frank Hutter, University of Freiburg (pdf)
• GPflowOpt: A Bayesian Optimization Library using TensorFlow
  Nicolas Knudde, Ghent University - imec; Joachim van der Herten, Ghent University - imec; Tom Dhaene, Ghent University - imec; Ivo Couckuyt, Ghent University - iMinds (pdf)
• Memory Bandits: a Bayesian Approach for the Switching Bandit problem
  Reda ALAMI, Orange Labs; Odalric Maillard, Inria; Raphael Feraud, Orange Labs (pdf)
• Learning Locomotion Primitives from Contextual Bayesian Optimization
  Brian Yang, UC Berkeley; Grant Wang, UC Berkeley; Roberto Calandra, UC Berkeley; Daniel Contreras, UC Berkeley; Sergey Levine, UC Berkeley; Kristofer Pister, UC Berkeley (pdf)
• The Kalai-Smorodinski solution for many-objective Bayesian optimization
  Mickael Binois, University of Chicago; Victor Picheny, INRA; Abderrahmane Habbal, Universite de Nice (pdf)
• An ADMM Framework for Constrained Bayesian Optimization
  Setareh Ariafar, Northeastern University; Jaume Coll-Font , Northeastern University; Dana Brooks, Northeastern University; Jennifer Dy, Northeastern (pdf)
• Filtering Outliers in Bayesian Optimization
  Ruben Martinez-Cantin, SigOpt; Kevin Tee, SigOpt; Mike Mccourt, SigOpt; Katharina Eggensperger, University of Freiburg (pdf) (supplementary)
• The reparameterization trick for acquisition functions
  James Wilson, Imperial College of London; Riccardo Moriconi, Imperial College of London; Frank Hutter, University of Freiburg; Marc Peter Deisenroth, Imperial College of London (pdf)
• A parametric approach to Bayesian optimization with pairwise comparisons
  Marco Cox, Eindhoven University of Technology; Bert de Vries, Eindhoven University of Technology (pdf)
• Combining Hyperband and Bayesian Optimization
  Stefan Falkner, University of Freiburg; Aaron Klein, Universität Freiburg; Frank Hutter, University of Freiburg (pdf)
• Bayesian Optimization for a Better Dessert
  Greg Kochanski, Google, Inc.; Daniel Golovin, Google, Inc.; John Karro, Google, Inc.; Ben Solnik, Google, Inc.; Subhodeep Moitra, Google, Inc.; D Sculley, Google (pdf)
• Multi-Attribute Bayesian Optimization under Utility Uncertainty
  Raul Astudillo Marban, Cornell University; Peter Frazier, Cornell University (pdf)
• Shape optimization in laminar flow
  Stephan Eismann, Stanford University; Stefan Bartzsch, TU Munich; Stefano Ermon, Stanford University (pdf)

Program Committee

We would like to thank our program committee for their great help in reviewing submissions: Yannis Assael, Mickaël Binois, Roberto Calandra, Konstantinos Chatzilygeroudis, Harvey Cheng, Ivo Couckuyt, Zhenwen Dai, Valentin Dalibard, Andreas Damianou, Ian Dewancker, Katharina Eggensperger, Matthias Feurer, Roman Garnett, Eduardo Garrido, Roger Grosse, Sunil Gupta, Philipp Hennig, Daniel Hernandez, Rodolphe Jenatton, Shali Jiang, Muhammad Kasim, Aaron Klein, Cheng Li, Gustavo Malkomes, Mike Mccourt, Philippe Morere, Jean-Baptiste, Jonas Mueller, Emisa Nategh, Vu Nguyen, Jose Nogueira, Takayuki Osa, Michael A. Osborne, Vaios Papaspyros, Victor Pena, Edward Pyzer, Dhanesh Ramachandram, Santu Rana, Michael Schaarschmidt, Bobak Shahriari, Alistair Shilton, Jasper Snoek, Paul Supratik, Kevin Tee, Tinu Theckel, Brendan Tracey, Joachim van, Vassilis Vassiliades, Filipe Veiga, Kim Wabersich, Zi Wang, Eiko Yoneki, Shaojun Zhu.