• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 113 matches

• 2024
• 
  Louis Yat Hin Chan, Gunnar Rø, Jørgen Eriksson Midtbø, Francesco Di Ruscio, Sara Sofie Viksmoen Watle, Lene Kristine Juvet, Jasper Littmann, Preben Aavitsland, Karin Maria Nygård, Are Stuwitz Berg, Geir Bukholm, Anja Bråthen Kristoffersen, Kenth Engø-Monsen, Solveig Engebretsen, David Swanson, Alfonso Diz-Lois Palomares, Jonas Christoffer Lindstrøm, Arnoldo Frigessi, Birgitte Freiesleben de Blasio:
  Modeling geographic vaccination strategies for COVID-19 in Norway. PLoS Comput. Biol. 20(1) (2024)
• 
  Daniel Lundén, Lars Hummelgren, Jan Kudlicka, Oscar Eriksson, David Broman:
  Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages. ESOP (2) 2024: 302-330
• 
  Jacob Sheahan, David J. Chatting, Robert Collins, Jessica Bley, Alexander Eriksson, Nick Taylor, Marco C. Rozendaal:
  Designing with Friction: Inverting Notions of Seamless Technology. NordiCHI (Adjunct) 2024: 59:1-59:4
• 
  Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob R. Gardner:
  Approximation-Aware Bayesian Optimization. CoRR abs/2406.04308 (2024)
• 
  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
• 
  Gustav Eriksson, Jonatan Werpers, David Niemelä, Niklas Wik, Valter Zethrin, Ken Mattsson:
  Boundary and interface methods for energy stable finite difference discretizations of the dynamic beam equation. J. Comput. Phys. 476: 111907 (2023)
• 
  Carlos Castro, Antonio Napoli, Mario Porrega, Johan Bäck, Amir Rashidinejad, Marco Quagliotti, Emilio Riccardi, David Hillerkuss, Amin Yekani, Fady Masoud, Atul Mathur, João Pedro, Bernhard Spinnler, M. Sezer Erkilinc, Aaron Chase, Tobias A. Eriksson, Dave Welch:
  Scalable filterless coherent point-to-multipoint metro network architecture. J. Opt. Commun. Netw. 15(5): B53-B66 (2023)
• 
  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
• 
  Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy:
  Sparse Bayesian optimization. AISTATS 2023: 3754-3774
• 
  Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner:
  Discovering Many Diverse Solutions with Bayesian Optimization. AISTATS 2023: 1779-1798
• 
  Remo Christen, Salomé Eriksson, Michael Katz, Christian Muise, Alice Petrov, Florian Pommerening, Jendrik Seipp, Silvan Sievers, David Speck:
  PARIS: Planning Algorithms for Reconfiguring Independent Sets. ECAI 2023: 453-460
• 
  Oscar Eriksson, Viktor Palmkvist, David Broman:
  Partial Evaluation of Automatic Differentiation for Differential-Algebraic Equations Solvers. GPCE 2023: 57-71
• 
  Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
  Unexpected Improvements to Expected Improvement for Bayesian Optimization. NeurIPS 2023
• 
  Amir Rashidinejad, Amin Yekani, Tobias A. Eriksson, Antonio Napoli, Robert Maher, Aditya Kakkar, Vince Dominic, Thomas Duthel, Mark Missey, Parmijit Samra, Don Pavinski, Peter Evans, Warren Sande, Mehdi Torbatian, Chris Fludger, Han Sun, Mehrdad Ziari, Fady Masoud, Azmina Somani, Dave Welch:
  Real-Time Point-to-Multipoint for Coherent Optical Broadcast and Aggregation - Enabled by Digital Subcarrier Multiplexing. OFC 2023: 1-3
• 
  Daniel Lundén, Lars Hummelgren, Jan Kudlicka, Oscar Eriksson, David Broman:
  Suspension Analysis and Selective Continuation-Passing Style for Higher-Order Probabilistic Programming Languages. CoRR abs/2302.13051 (2023)
• 
  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)
• 
  Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
  Unexpected Improvements to Expected Improvement for Bayesian Optimization. CoRR abs/2310.20708 (2023)
• 2022
• 
  Robert Bereza, Oscar Eriksson, Mohamed Rasheed-Hilmy Abdalmoaty, David Broman, Håkan Hjalmarsson:
  Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances. CDC 2022: 6712-6717
• 
  Kyriaki E. Antoniadou-Plytaria, Ludvig Eriksson, Jakob Johansson, Richard Johnsson, Lasse Kötz, Johan Lamm, Ellinor Lundblad, David Steen, Le Anh Tuan, Ola Carlson:
  Effect of Short-term and High-resolution Load Forecasting Errors on Microgrid Operation Costs. ISGT-Europe 2022: 1-5
• 
  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
• 
  Johan Bäck, Antonio Napoli, Emilio Riccardi, Marco Quagliotti, Mario Porrega, João Pedro, Tobias A. Eriksson, Fady Masoud, Atul Mathur, Dave Welch:
  A Filterless Design with Point-to-multipoint Transceivers for Cost-Effective and Challenging Metro/Regional Aggregation Topologies. ONDM 2022: 1-6
• 
  Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
  Multi-objective Bayesian optimization over high-dimensional search spaces. UAI 2022: 507-517
• 
  Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy:
  Sparse Bayesian Optimization. CoRR abs/2203.01900 (2022)
• 
  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)
• 
  Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner:
  Discovering Many Diverse Solutions with Bayesian Optimization. CoRR abs/2210.10953 (2022)
• 
  Gustav Eriksson, Jonatan Werpers, David Niemelä, Niklas Wik, Valter Zethrin, Ken Mattsson:
  Boundary and interface methods for energy stable finite difference discretizations of the dynamic beam equation. CoRR abs/2210.13131 (2022)
• 
  Lars Hummelgren, John Wikman, Oscar Eriksson, Philipp Haller, David Broman:
  Expression Acceleration: Seamless Parallelization of Typed High-Level Languages. CoRR abs/2211.00621 (2022)
• 2021
• 
  Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter:
  Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 842-857 (2021)
• 
  David Eriksson, Matthias Poloczek:
  Scalable Constrained Bayesian Optimization. AISTATS 2021: 730-738
• 
  Mohamed Rasheed-Hilmy Abdalmoaty, Oscar Eriksson, Robert Bereza, David Broman, Håkan Hjalmarsson:
  Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances. CDC 2021: 2300-2305

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