Nikhil Ghosh

According to our database1, Nikhil Ghosh authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
The Impact of Initialization on LoRA Finetuning Dynamics.
CoRR, 2024

LoRA+: Efficient Low Rank Adaptation of Large Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors.
SIAM J. Math. Data Sci., December, 2023

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.
CoRR, 2023

The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.
CoRR, 2023

The Power of External Memory in Increasing Predictive Model Capacity.
CoRR, 2023

Alternating Updates for Efficient Transformers.
CoRR, 2023

Alternating Updates for Efficient Transformers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deconstructing Distributions: A Pointwise Framework of Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Benefits of Learning to Route in Mixture-of-Experts Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2019
Landmark Ordinal Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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