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Michiel A. Bakker
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2020 – today
- 2024
- [i10]Christopher Summerfield, Lisa Argyle, Michiel A. Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian K. Hadfield, Luke Hewitt, Saffron Huang, Helene Landemore, Nahema Marchal, Aviv Ovadya, Ariel Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, MH Tessler, Matthew Botvinick:
How will advanced AI systems impact democracy? CoRR abs/2409.06729 (2024) - 2022
- [c9]Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, Christopher Summerfield:
Fine-tuning language models to find agreement among humans with diverse preferences. NeurIPS 2022 - [i9]Michiel A. Bakker, Martin J. Chadwick, Hannah R. Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matthew M. Botvinick, Christopher Summerfield:
Fine-tuning language models to find agreement among humans with diverse preferences. CoRR abs/2211.15006 (2022) - 2021
- [c8]Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi
, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller:
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. AIES 2021: 346-356 - [c7]Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes:
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. AAMAS 2021: 1455-1457 - [i8]Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes:
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. CoRR abs/2102.06911 (2021) - [i7]Edgar A. Duéñez-Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo:
Statistical discrimination in learning agents. CoRR abs/2110.11404 (2021) - 2020
- [c6]Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. SafeAI@AAAI 2020: 41-53 - [c5]Alejandro Noriega-Campero, Bernardo Garcia-Bulle, Luis Fernando Cantu, Michiel A. Bakker, Luis Tejerina, Alex Pentland:
Algorithmic targeting of social policies: fairness, accuracy, and distributed governance. FAT* 2020: 241-251 - [i6]Alex Berke, Michiel A. Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex 'Sandy' Pentland:
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic. CoRR abs/2003.14412 (2020)
2010 – 2019
- 2019
- [c4]Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex 'Sandy' Pentland:
Active Fairness in Algorithmic Decision Making. AIES 2019: 77-83 - [c3]Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
VizML: A Machine Learning Approach to Visualization Recommendation. CHI 2019: 128 - [c2]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI 2019: 662 - [c1]Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. KDD 2019: 1500-1508 - [p1]Michiel A. Bakker, Daoud A. Piracha, Patricia J. Lu, Keis Bejgo, Mohsen Bahrami, Yan Leng, José Balsa-Barreiro, Julie Ricard, Alfredo Jose Morales, Vivek K. Singh, Burçin Bozkaya, Selim Balcisoy, Alex Pentland:
Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey. Data for Refugees Challenge 2019: 123-140 - [i5]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CoRR abs/1905.04616 (2019) - [i4]Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo:
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. CoRR abs/1905.10688 (2019) - [i3]Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland:
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. CoRR abs/1910.13983 (2019) - 2018
- [i2]Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo:
VizML: A Machine Learning Approach to Visualization Recommendation. CoRR abs/1808.04819 (2018) - [i1]Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex Pentland:
Active Fairness in Algorithmic Decision Making. CoRR abs/1810.00031 (2018)
Coauthor Index
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