Michiel A. Bakker

According to our database, Michiel A. Bakker authored at least 13 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Fine-tuning language models to find agreement among humans with diverse preferences.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Statistical discrimination in learning agents.

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

CoRR, 2021

Modelling Cooperation in Network Games with Spatio-Temporal Complexity.

Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic.

Alex Berke, Michiel A. Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex 'Sandy' Pentland

CoRR, 2020

Algorithmic targeting of social policies: fairness, accuracy, and distributed governance.

Alejandro Noriega-Campero, Bernardo Garcia-Bulle, Luis Fernando Cantu, Michiel A. Bakker, Luis Tejerina, Alex Pentland

Proceedings of the FAT* '20: Conference on Fairness, 2020

Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds.

Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning.

Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland

CoRR, 2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection.

Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.

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

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

VizML: A Machine Learning Approach to Visualization Recommendation.

Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Active Fairness in Algorithmic Decision Making.

Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex 'Sandy' Pentland

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey.

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

Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019