Math PhD candidate in machine learning at the University of Michigan. Interests: reinforcement learning, bandits, Bayesian methods, RLHF, LLMs.
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University of Michigan
- Ann Arbor
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17:30
(UTC -04:00) - https://chinmaya-kausik.github.io/
- in/chinmaya-kausik
- @ChinmayaKausik
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learning_mixtures_lds_py
learning_mixtures_lds_py PublicImplementing (in Python) and performing ablation studies for Chen and Poor's algorithm for learning mixtures of linear dynamical systems.
Jupyter Notebook
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in-context-learning-small
in-context-learning-small PublicExperiments with In Context Learning using small functions
Jupyter Notebook
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multitask-gp-dot-product-samples
multitask-gp-dot-product-samples PublicA library for performing exact inference with multitask GPs using samples of dot products with given vectors (work done while interning at MSFT Ads)
Python
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mamba_attention_length_generalization
mamba_attention_length_generalization PublicComparing length generalization performance for Mamba, attention-based transformers and Mamba-attention hybrids
Jupyter Notebook
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