Megha Srivastava

According to our database, Megha Srivastava authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

Proximal State Nudging: Reducing Skill Atrophy from AI Assistance.

Megha Srivastava, Jonathan Ouyang, Eric Zhou, Andrew Silva, Emily Sumner, Dorsa Sadigh, Yuchen Cui, Deepak Edakkattil Gopinath, Guy Rosman

CoRR, May, 2026

Hawkeye: Reproducing GPU-Level Non-Determinism.

Erez Badash, Dan Boneh, Ilan Komargodski, Megha Srivastava

CoRR, March, 2026

Policy Learning with a Language Bottleneck.

Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas

Trans. Mach. Learn. Res., 2026

Training large language models on narrow tasks can lead to broad misalignment.

Jan Betley, Niels Warncke, Anna Sztyber-Betley, Daniel Tan, Xuchan Bao, Martín Soto, Megha Srivastava, Nathan Labenz

Nat., 2026

Modeling Student Learning with 3.8 Million Program Traces.

Alexis Ross, Megha Srivastava, Jeremiah J. Blanchard, Jacob Andreas

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Shared Autonomy for Proximal Teaching.

Megha Srivastava, Reihaneh Iranmanesh, Yuchen Cui, Deepak Edakkattil Gopinath, Emily Sarah Sumner, Andrew Silva, Laporsha Dees, Guy Rosman, Dorsa Sadigh

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

Robotics for Personalized Motor Skills Instruction.

Megha Srivastava

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024

Machine learning for modular multiplication.

Kristin E. Lauter, Cathy Yuanchen Li, Krystal Maughan, Rachel Newton, Megha Srivastava

CoRR, 2024

Optimistic Verifiable Training by Controlling Hardware Nondeterminism.

Megha Srivastava, Simran Arora, Dan Boneh

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Evaluating Human-Language Model Interaction.

Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang

Trans. Mach. Learn. Res., 2023

Generating Language Corrections for Teaching Physical Control Tasks.

Megha Srivastava, Noah D. Goodman, Dorsa Sadigh

Proceedings of the International Conference on Machine Learning, 2023

Do Users Write More Insecure Code with AI Assistants?

Neil Perry, Megha Srivastava, Deepak Kumar, Dan Boneh

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Assistive Teaching of Motor Control Tasks to Humans.

Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

LILA: Language-Informed Latent Actions.

Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh

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

Question Generation for Adaptive Education.

Megha Srivastava, Noah D. Goodman

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

An Empirical Analysis of Backward Compatibility in Machine Learning Systems.

Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Robustness to Spurious Correlations via Human Annotations.

Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.

Megha Srivastava, Hoda Heidari, Andreas Krause

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance.

Megha Srivastava, Kalanit Grill-Spector

CoRR, 2018

Fairness Without Demographics in Repeated Loss Minimization.

Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang

Proceedings of the 35th International Conference on Machine Learning, 2018