Nivasini Ananthakrishnan

According to our database, Nivasini Ananthakrishnan authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interaction.

Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang

CoRR, 2024

Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions.

Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Privacy Can Arise Endogenously in an Economic System with Learning Agents.

Nivasini Ananthakrishnan, Tiffany Ding, Mariel A. Werner, Sai Praneeth Karimireddy, Michael I. Jordan

Proceedings of the 5th Symposium on Foundations of Responsible Computing, 2024

Delegating Data Collection in Decentralized Machine Learning.

Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2021

Impossibility results for fair representations.

Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan

CoRR, 2021

Identifying regions of trusted predictions.

Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Open Problem: Are all VC-classes CPAC learnable?

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Conference on Learning Theory, 2021

Classification Confidence Scores with Point-wise Guarantees.

Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

On Learnability wih Computable Learners.

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Algorithmic Learning Theory, 2020