Nikita Dhawan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Risk Minimization

Top Venues

Robotics: Science and Systems

Publications

Nikita Dhawan, Nicole Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite
Leveraging Function Space Aggregation for Federated Learning at Scale. Trans. Mach. Learn. Res. 2024 (2024)
Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
End-To-End Causal Effect Estimation from Unstructured Natural Language Data. CoRR (2024)
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger B. Grosse
Efficient Parametric Approximations of Neural Network Function Space Distance. CoRR (2023)
Nikita Dhawan, Nicole Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite
Leveraging Function Space Aggregation for Federated Learning at Scale. CoRR (2023)
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse
Efficient Parametric Approximations of Neural Network Function Space Distance. ICML (2023)
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
On the Difficulty of Defending Self-Supervised Learning against Model Extraction. CoRR (2022)
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
On the Difficulty of Defending Self-Supervised Learning against Model Extraction. ICML (2022)
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Dataset Inference for Self-Supervised Models. NeurIPS (2022)
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Dataset Inference for Self-Supervised Models. CoRR (2022)
Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn
Adaptive Risk Minimization: Learning to Adapt to Domain Shift. NeurIPS (2021)
Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. Robotics: Science and Systems (2020)
Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. CoRR (2019)