inFERENCe
posts on machine learning, statistics, opinions on things I'm reading in the space
My lab
Blog
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
The secular Bayesian: Using belief distributions without really believing
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October 31, 2019
Exponentially Growing Learning Rate? Implications of Scale Invariance induced by Batch Normalization
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October 25, 2019
On Marginal Likelihood and Cross-Validation
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October 17, 2019
Notes on iMAML: Meta-Learning with Implicit Gradients
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September 19, 2019
Invariant Risk Minimization: An Information Theoretic View
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July 19, 2019
ICML Highlight: Contrastive Divergence for Combining Variational Inference and MCMC
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June 12, 2019
Notes on the Limitations of the Empirical Fisher Approximation
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June 6, 2019
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