Michiel A. Bakker

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 18

Top Topics

Decision Making

Viable Alternative

Top Venues

Publications

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 (2022)
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)
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)
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)
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 (2021)
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 (2021)
Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. SafeAI@AAAI (2020)
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 (2020)
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)
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 (2019)
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI (2019)
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 (2019)
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. KDD (2019)
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 (2019)
Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex 'Sandy' Pentland
Active Fairness in Algorithmic Decision Making. AIES (2019)
Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
VizML: A Machine Learning Approach to Visualization Recommendation. CHI (2019)
Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
VizML: A Machine Learning Approach to Visualization Recommendation. CoRR (2018)
Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex Pentland
Active Fairness in Algorithmic Decision Making. CoRR (2018)