Bayesian Meta-Learning Through Variational Gaussian Processes. - Vivek Myers; Nikhil Sardana (CoRR, 2021)

Autonomous Reinforcement Learning: Formalism and Benchmarking. - Archit Sharma; Kelvin Xu; Nikhil Sardana; Abhishek Gupta 004; Karol Hausman; Sergey Levine; Chelsea Finn (ICLR, 2022)

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. - Jacob P. Portes; Alexander Trott; Sam Havens; Daniel King; Abhinav Venigalla; Moin Nadeem; Nikhil Sardana; Daya Khudia; Jonathan Frankle (NeurIPS, 2023)

Sparse Upcycling: Inference Inefficient Finetuning. - Sasha Doubov; Nikhil Sardana; Vitaliy Chiley (ENLSP, 2024)

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. - Nikhil Sardana; Jacob P. Portes; Sasha Doubov; Jonathan Frankle (ICML, 2024)

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. - Nikhil Sardana; Jonathan Frankle (CoRR, 2024)