Michiel A. Bakker
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice. | Suyash Pradeep Fulay, Prerna Ravi, Om Gokhale, Eugene Yi, Michiel A. Bakker, Deb Roy |
| 2026 | EACL | From Delegates to Trustees: How Optimizing for Long-Term Interests Shapes Bias and Alignment in LLMs. | Suyash Fulay, Jocelyn Zhu, Michiel A. Bakker |
| 2025 | EMNLP | Value Profiles for Encoding Human Variation. | Taylor Sorensen, Pushkar Mishra, Roma Patel, Michael Henry Tessler, Michiel A. Bakker, Georgina Evans, Iason Gabriel, Noah D. Goodman, Verena Rieser |
| 2025 | ICML | Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work. | Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh |
| 2025 | WWW | Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. | Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski |
| 2021 | AIES | Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. | Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller |
| 2020 | AAAI | Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. | Michiel A. Bakker, Humberto Rivern Valds, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland |
| 2019 | AIES | Active Fairness in Algorithmic Decision Making. | Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garca-Bulle, Alex 'Sandy' Pentland |
| 2019 | CHI | VizML: A Machine Learning Approach to Visualization Recommendation. | Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, Csar A. Hidalgo |
| 2019 | CHI | VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. | Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, Csar A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, agatay Demiralp |
| 2019 | KDD | Sherlock: A Deep Learning Approach to Semantic Data Type Detection. | Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, agatay Demiralp, Csar A. Hidalgo |