Institute Homepage
Institute Homepage
DE
Sign In
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Back
Ana-Andreea Stoica
Social Foundations of Computation
Research Group Leader
Max-Planck-Ring 4
72076 Tübingen
+49 7071 601
ana-andreea.stoica@tuebingen.mpg.de
More
Website
Google Scholar
Publications
Social Foundations of Computation
Miscellaneous
Policy Design in Long-run Welfare Dynamics
Wu, J., Abebe, R., Hardt, M., Stoica, A.
The Thirteenth International Conference on Learning Representations (ICLR 2025)
, January 2025,
Accepted
(Accepted)
URL
BibTeX
Social Foundations of Computation
Conference Paper
The Fairness-Quality Trade-off in Clustering
Hakim, R., Stoica, A., Papadimitriou, C. H., Yannakakis, M.
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024
(Published)
arXiv
URL
BibTeX
Social Foundations of Computation
Conference Paper
Fairness in Social Influence Maximization via Optimal Transport
Chowdhary, S., De Pasquale, G., Lanzetti, N., Stoica, A., Dorfler, F.
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), September 2024
(Published)
ArXiv
URL
BibTeX
Social Foundations of Computation
Conference Paper
Causal Inference from Competing Treatments
Stoica, A., Nastl, V. Y., Hardt, M.
In
Proceedings of the 41st International Conference on Machine Learning (ICML 2024)
, PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024
(Published)
ArXiv
URL
BibTeX
Social Foundations of Computation
Conference Paper
Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks
Stoica, A., Litvak, N., Chaintreau, A.
In
Proceedings of the Association for Computing Machinery (ACM) Web Conference 2024
, ACM, The 2024 ACM Web Conference, May 2024
(Published)
ArXiv
URL
BibTeX
Social Foundations of Computation
Article
Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective
Yasar, A. G., Chong, A., Dong, E., Gilbert, T., Hladikova, S., Mougan, C., Shen, X., Singh, S., Stoica, A., Thais, S.
Workshop on Generative AI + Law (GenLaw)
, LSE Legal Studies Working Paper, The Fortieth International Conference on Machine Learning (ICML) 2023 , March 2024
(Published)
URL
BibTeX
Social Foundations of Computation
Conference Paper
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI
Yasar, A. G., Chong, A., Dong, E., Gilbert, T. K., Hladikova, S., Maio, R., Mougan, C., Shen, X., Singh, S., Stoica, A., et al.
Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
, PMLR, The Forty International Conference on Machine Learning (ICML), July 2023,
Accepted
(Accepted)
arXiv
URL
BibTeX
This website uses cookies to ensure you get the best experience.
Learn more
.
Accept