Alec Farid

According to our database, Alec Farid authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Task-Driven Detection of Distribution Shifts With Statistical Guarantees for Robot Learning.

Alec Farid, Sushant Veer, Divyanshu Pachisia, Anirudha Majumdar

IEEE Trans. Robotics, 2025

2024

Foundation Models for Rapid Autonomy Validation.

Alec Farid, Peter Schleede, Aaron Huang, Christoffer Heckman

CoRR, 2024

2022

Comparing the Complexity of Robotic Tasks.

Michelle Ho, Alec Farid, Anirudha Majumdar

CoRR, 2022

Towards a Framework for Comparing the Complexity of Robotic Tasks.

Michelle Ho, Alec Farid, Anirudha Majumdar

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control.

Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles.

Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone

Proceedings of the Conference on Robot Learning, 2022

2021

PAC-Bayes control: learning policies that provably generalize to novel environments.

Anirudha Majumdar, Alec Farid, Anoopkumar Sonar

Int. J. Robotics Res., 2021

PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability.

Alec Farid, Anirudha Majumdar

CoRR, 2021

Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability.

Alec Farid, Anirudha Majumdar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning.

Alec Farid, Sushant Veer, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021