Tosca Lechner

According to our database, Tosca Lechner authored at least 11 papers between 2020 and 2023.

Collaborative distances:

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

2023

Impossibility of Characterizing Distribution Learning - a simple solution to a long-standing problem.

Tosca Lechner, Shai Ben-David

CoRR, 2023

Adversarially Robust Learning with Uncertain Perturbation Sets.

Tosca Lechner, Vinayak Pathak, Ruth Urner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distribution Learnability and Robustness.

Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Strategic Classification with Unknown User Manipulations.

Tosca Lechner, Ruth Urner, Shai Ben-David

Proceedings of the International Conference on Machine Learning, 2023

2022

Inherent Limitations of Multi-Task Fair Representations.

Tosca Lechner, Shai Ben-David

Proceedings of the Conference on Lifelong Learning Agents, 2022

Learning Losses for Strategic Classification.

Tosca Lechner, Ruth Urner

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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