David Eriksson

According to our database, David Eriksson authored at least 34 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces.

Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson

CoRR, 2024

Approximation-Aware Bayesian Optimization.

Natalie Maus, Kyurae Kim, David Eriksson, Geoff Pleiss, John P. Cunningham, Jacob R. Gardner

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Gaussian Processes via Relevance Pursuit.

Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Unexpected Improvements to Expected Improvement for Bayesian Optimization.

Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Many Diverse Solutions with Bayesian Optimization.

Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sparse Bayesian optimization.

Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.

Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multi-objective Bayesian optimization over high-dimensional search spaces.

Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.

Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.

David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat

CoRR, 2021

A Nonmyopic Approach to Cost-Constrained Bayesian Optimization.

Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

High-dimensional Bayesian optimization with sparse axis-aligned subspaces.

David Eriksson, Martin Jankowiak

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Scalable Constrained Bayesian Optimization.

David Eriksson, Matthias Poloczek

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient Rollout Strategies for Bayesian Optimization.

Eric Hans Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.

Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization.

Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization.

David Eriksson, David Bindel, Christine A. Shoemaker

CoRR, 2019

Scalable Global Optimization via Local Bayesian Optimization.

David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Scaling Gaussian Process Regression with Derivatives.

David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Selective interhemispheric circuits account for a cardinal bias in spontaneous activity within early visual areas.

Tiago Siebert Altavini, Sergio Andres Conde-Ocazionez, David Eriksson, Thomas Wunderle, Kerstin Erika Schmidt

NeuroImage, 2017

Overview of 3GPP Release 14 Enhanced NB-IoT.

Andreas Hoglund, Xingqin Lin, Olof Liberg, Ali Behravan, Emre A. Yavuz, Martin Van Der Zee, Yutao Sui, Tuomas Tirronen, Antti Ratilainen, David Eriksson

IEEE Netw., 2017

Critical operations capabilities for competitive manufacturing: a systematic review.

Cinzia Sansone, Per Hilletofth, David Eriksson

Ind. Manag. Data Syst., 2017

Scalable Log Determinants for Gaussian Process Kernel Learning.

Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Fast exact shortest distance queries for massive point clouds.

David Eriksson, Evan Shellshear

Graph. Model., 2016

2014

Approximate Distance Queries for Path-planning in Massive Point Clouds.

David Eriksson, Evan Shellshear

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014

2013

Creating value through wholesaler and retailer interface.

David Eriksson, Per Hilletofth, Olli-Pekka Hilmola

Ind. Manag. Data Syst., 2013

2012

Two sides of a token: coordinating demand and supply at furniture wholesaler.

Per Hilletofth, David Eriksson, Olli-Pekka Hilmola

Int. J. Manuf. Res., 2012

Matching supply chain strategy with business strategy and the results of a mismatch.

David Eriksson, Carl Philip T. Hedenstierna

Int. J. Manuf. Res., 2012

2011

A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations.

David Eriksson, Raul Vicente, Kerstin Erika Schmidt

Frontiers Comput. Neurosci., 2011

2010

Coordinating new product development with supply chain management.

Per Hilletofth, David Eriksson

Ind. Manag. Data Syst., 2010

Erratum for "2HDMC - two-Higgs-doublet model calculator" [Comput. Phys. Commun. 181 (2010) 189].

David Eriksson, Johan Rathsman, Oscar Stål

Comput. Phys. Commun., 2010

2HDMC - two-Higgs-doublet model calculator.

David Eriksson, Johan Rathsman, Oscar Stål

Comput. Phys. Commun., 2010

2004

Extracting and exposing predictive cortical columns for selective attention.

David Eriksson

Neurocomputing, 2004

2003

Effects of short-term synaptic plasticity in a local microcircuit on cell firing.

David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner

Neurocomputing, 2003