default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid Eriksson
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i19]Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob R. Gardner:
Approximation-Aware Bayesian Optimization. CoRR abs/2406.04308 (2024)- [i18]Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson:
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces. CoRR abs/2409.05325 (2024) - 2023
- [c16]Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner:
Discovering Many Diverse Solutions with Bayesian Optimization. AISTATS 2023: 1779-1798 - [c15]Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy:
Sparse Bayesian optimization. AISTATS 2023: 3754-3774 - [c14]Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson:
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS 2023: 7021-7039 - [c13]Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Unexpected Improvements to Expected Improvement for Bayesian Optimization. NeurIPS 2023 - [i17]Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson:
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. CoRR abs/2303.01774 (2023) - [i16]Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Unexpected Improvements to Expected Improvement for Bayesian Optimization. CoRR abs/2310.20708 (2023) - 2022
- [c12]Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy:
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization. NeurIPS 2022 - [c11]Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Multi-objective Bayesian optimization over high-dimensional search spaces. UAI 2022: 507-517 - [i15]Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy:
Sparse Bayesian Optimization. CoRR abs/2203.01900 (2022) - [i14]Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy:
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization. CoRR abs/2210.10199 (2022) - [i13]Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner:
Discovering Many Diverse Solutions with Bayesian Optimization. CoRR abs/2210.10953 (2022) - 2021
- [c10]David Eriksson, Matthias Poloczek:
Scalable Constrained Bayesian Optimization. AISTATS 2021: 730-738 - [c9]David Eriksson, Martin Jankowiak:
High-dimensional Bayesian optimization with sparse axis-aligned subspaces. UAI 2021: 493-503 - [c8]Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger:
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization. UAI 2021: 568-577 - [i12]David Eriksson, Martin Jankowiak:
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces. CoRR abs/2103.00349 (2021) - [i11]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR abs/2104.10201 (2021) - [i10]Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger:
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization. CoRR abs/2106.06079 (2021) - [i9]David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat:
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. CoRR abs/2106.11890 (2021) - [i8]Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces. CoRR abs/2109.10964 (2021) - 2020
- [c7]Geoff Pleiss, Martin Jankowiak, David Eriksson, Anil Damle, Jacob R. Gardner:
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization. NeurIPS 2020 - [c6]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) 2020: 3-26 - [c5]Eric Hans Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt:
Efficient Rollout Strategies for Bayesian Optimization. UAI 2020: 260-269 - [i7]David Eriksson, Matthias Poloczek:
Scalable Constrained Bayesian Optimization. CoRR abs/2002.08526 (2020) - [i6]Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel:
Efficient Rollout Strategies for Bayesian Optimization. CoRR abs/2002.10539 (2020) - [i5]Geoff Pleiss, Martin Jankowiak, David Eriksson
, Anil Damle, Jacob R. Gardner:
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization. CoRR abs/2006.11267 (2020)
2010 – 2019
- 2019
- [c4]David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. NeurIPS 2019: 5497-5508 - [i4]David Eriksson, David Bindel, Christine A. Shoemaker:
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization. CoRR abs/1908.00420 (2019) - [i3]David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. CoRR abs/1910.01739 (2019) - 2018
- [c3]David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson:
Scaling Gaussian Process Regression with Derivatives. NeurIPS 2018: 6868-6878 - [i2]David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson:
Scaling Gaussian Process Regression with Derivatives. CoRR abs/1810.12283 (2018) - 2017
- [j14]Cinzia Sansone, Per Hilletofth, David Eriksson:
Critical operations capabilities for competitive manufacturing: a systematic review. Ind. Manag. Data Syst. 117(5): 801-837 (2017) - [j13]Andreas Hoglund, Xingqin Lin, Olof Liberg, Ali Behravan, Emre A. Yavuz, Martin Van Der Zee, Yutao Sui, Tuomas Tirronen, Antti Ratilainen, David Eriksson:
Overview of 3GPP Release 14 Enhanced NB-IoT. IEEE Netw. 31(6): 16-22 (2017) - [j12]Tiago Siebert Altavini, Sergio Andres Conde-Ocazionez, David Eriksson, Thomas Wunderle, Kerstin Erika Schmidt:
Selective interhemispheric circuits account for a cardinal bias in spontaneous activity within early visual areas. NeuroImage 146: 971-982 (2017) - [c2]Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew Gordon Wilson:
Scalable Log Determinants for Gaussian Process Kernel Learning. NIPS 2017: 6327-6337 - [i1]Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew Gordon Wilson:
Scalable Log Determinants for Gaussian Process Kernel Learning. CoRR abs/1711.03481 (2017) - 2016
- [j11]David Eriksson, Evan Shellshear:
Fast exact shortest distance queries for massive point clouds. Graph. Model. 84: 28-37 (2016) - 2014
- [c1]David Eriksson, Evan Shellshear:
Approximate Distance Queries for Path-planning in Massive Point Clouds. ICINCO (2) 2014: 20-28 - 2013
- [j10]David Eriksson, Per Hilletofth, Olli-Pekka Hilmola:
Creating value through wholesaler and retailer interface. Ind. Manag. Data Syst. 113(8): 1169-1188 (2013) - 2012
- [j9]Per Hilletofth, David Eriksson, Olli-Pekka Hilmola:
Two sides of a token: coordinating demand and supply at furniture wholesaler. Int. J. Manuf. Res. 7(2): 101-122 (2012) - [j8]David Eriksson, Carl Philip T. Hedenstierna:
Matching supply chain strategy with business strategy and the results of a mismatch. Int. J. Manuf. Res. 7(2): 181-197 (2012) - 2011
- [j7]David Eriksson, Raul Vicente, Kerstin Erika Schmidt:
A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations. Frontiers Comput. Neurosci. 5: 34 (2011) - 2010
- [j6]David Eriksson, Johan Rathsman, Oscar Stål:
2HDMC - two-Higgs-doublet model calculator. Comput. Phys. Commun. 181(1): 189-205 (2010) - [j5]David Eriksson, Johan Rathsman, Oscar Stål:
2HDMC - two-Higgs-doublet model calculator. Comput. Phys. Commun. 181(4): 833-834 (2010) - [j4]David Eriksson, Johan Rathsman, Oscar Stål:
Erratum for "2HDMC - two-Higgs-doublet model calculator" [Comput. Phys. Commun. 181 (2010) 189]. Comput. Phys. Commun. 181(5): 985 (2010) - [j3]Per Hilletofth, David Eriksson:
Coordinating new product development with supply chain management. Ind. Manag. Data Syst. 111(2): 264-281 (2010)
2000 – 2009
- 2004
- [j2]David Eriksson:
Extracting and exposing predictive cortical columns for selective attention. Neurocomputing 58-60: 625-631 (2004) - 2003
- [j1]David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner:
Effects of short-term synaptic plasticity in a local microcircuit on cell firing. Neurocomputing 52-54: 7-12 (2003)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-10 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
