Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning. - Alec Farid; Sushant Veer; Anirudha Majumdar (CoRL, 2021)

Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability. - Alec Farid; Anirudha Majumdar (NeurIPS, 2021)

PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability. - Alec Farid; Anirudha Majumdar (CoRR, 2021)

PAC-Bayes control: learning policies that provably generalize to novel environments. - Anirudha Majumdar; Alec Farid; Anoopkumar Sonar (Int. J. Robotics Res., 2021)

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. - Alec Farid; Sushant Veer; Boris Ivanovic; Karen Leung; Marco Pavone 001 (CoRL, 2022)

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control. - Alec Farid; David Snyder; Allen Z. Ren; Anirudha Majumdar (Robotics: Science and Systems, 2022)

Towards a Framework for Comparing the Complexity of Robotic Tasks. - Michelle Ho; Alec Farid; Anirudha Majumdar (WAFR, 2022)

Comparing the Complexity of Robotic Tasks. - Michelle Ho; Alec Farid; Anirudha Majumdar (CoRR, 2022)

Foundation Models for Rapid Autonomy Validation. - Alec Farid; Peter Schleede; Aaron Huang; Christoffer Heckman (CoRR, 2024)

Task-Driven Detection of Distribution Shifts With Statistical Guarantees for Robot Learning. - Alec Farid; Sushant Veer; Divyanshu Pachisia; Anirudha Majumdar (IEEE Trans. Robotics, 2025)