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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
publications
Rethinking Sharpness-Aware Minimization as Variational Inference
14th International OPT Workshop on Optimization for Machine Learning, NeurIPS, 2022
We connect the Sharpness-Aware Minimization (SAM) algorithm to mean-field variational inference and derive novel optimization algorithms building on the said connection.
Download here
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo
1st Mathematics of Modern Machine Learning Workshop, NeurIPS, 2023
We improve empirical PAC-Bayes bounds by estimating their optimal value using HMC samples from the Gibbs (generalized) posterior.
Download here
Position Paper: Understanding LLMs Requires More than Statistical Generalization
Spotlight, International Conference on Machine Learning (ICML), 2024
We illustrate how statistical generalisation does not explain the emergent abilities of today’s AR probabilistic models, and propose relevant research directions in OOD-generalisation and inductive biases.
Download here
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
Spotlight, Neural Information Processing Systems, 2024
We introduce rule extrapolation, a novel metric of OOD compositional generalisation on formal languages, and evaluate it on several AR Language model architectures. We also propose a normative model to explain OOD behaviour via simplicity bias.
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.