Nikita Dhawan

According to our database, Nikita Dhawan authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Causal Risk Minimization for High-Dimensional Treatments.

Nikita Dhawan, Arnav Paruthi, Andrew Kim, Lovedeep Gondara, Jekaterina Novikova, Chris J. Maddison

CoRR, May, 2026

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors.

Nikita Dhawan, Daniel Shen, Leonardo Cotta, Chris J. Maddison

Trans. Mach. Learn. Res., 2026

2024

Leveraging Function Space Aggregation for Federated Learning at Scale.

Nikita Dhawan, Nicole Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite

Trans. Mach. Learn. Res., 2024

End-To-End Causal Effect Estimation from Unstructured Natural Language Data.

Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison

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

2023

Efficient Parametric Approximations of Neural Network Function Space Distance.

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse

Proceedings of the International Conference on Machine Learning, 2023

2022

Dataset Inference for Self-Supervised Models.

Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot

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

On the Difficulty of Defending Self-Supervised Learning against Model Extraction.

Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot

Proceedings of the International Conference on Machine Learning, 2022

2021

Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn

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

2020

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.

Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine

Proceedings of the Robotics: Science and Systems XVI, 2020