inFERENCe
posts on machine learning, statistics, opinions on things I'm reading in the space
About me
Blog
We May be Surprised Again: Why I take LLMs seriously.
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March 22, 2023
Implicit Bayesian Inference in Large Language Models
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March 3, 2022
Eastern European Guide to Writing Reference Letters
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February 28, 2022
Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models
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June 10, 2021
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causal inference
On Information Theoretic Bounds for SGD
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April 23, 2021
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generalization
information theory
Notes on the Origin of Implicit Regularization in SGD
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April 1, 2021
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deep learning
generalization
SGD
differerntial equations
An information maximization view on the $\beta$-VAE objective
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March 18, 2021
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VAE
generative models
deep learning
KL divergence
Some Intuition on the Neural Tangent Kernel
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November 20, 2020
Notes on Causally Correct Partial Models
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November 12, 2020
Meta-Learning Millions of Hyper-parameters using the Implicit Function Theorem
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November 14, 2019
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