David Eriksson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment. | Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi |
| 2025 | ICML | Scalable Gaussian Processes with Latent Kronecker Structure. | Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, Jos Miguel Hernndez-Lobato, Eytan Bakshy |
| 2023 | AISTATS | Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. | Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson |
| 2023 | AISTATS | Sparse Bayesian optimization. | Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy |
| 2023 | AISTATS | Discovering Many Diverse Solutions with Bayesian Optimization. | Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner |
| 2022 | UAI | Multi-objective Bayesian optimization over high-dimensional search spaces. | Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy |
| 2021 | AISTATS | Scalable Constrained Bayesian Optimization. | David Eriksson, Matthias Poloczek |
| 2021 | UAI | High-dimensional Bayesian optimization with sparse axis-aligned subspaces. | David Eriksson, Martin Jankowiak |
| 2021 | UAI | A Nonmyopic Approach to Cost-Constrained Bayesian Optimization. | Eric Hans Lee, David Eriksson, Valerio Perrone, Matthias W. Seeger |
| 2020 | UAI | Efficient Rollout Strategies for Bayesian Optimization. | Eric Hans Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt |
| 2014 | ICINCO | Approximate Distance Queries for Path-planning in Massive Point Clouds. | David Eriksson, Evan Shellshear |