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ML (2)
Reparameterization (1)

Learning Loss for Active Learning

Active Learning
CNN

Explaining and Implementing Learning Loss for Active Learning.
Oct 31, 2023
Madhav Kanda

Variationally Inferred Parameterization (VIP)

Bayesian Inference
Reparameterization

Tutorial for performing Variationally Inferred Parameterization (VIP) for Bayesian inference in Numpyro
Oct 18, 2023
Madhav Kanda

image

Windowed Non-Linear Reparamaterization

MCMC
Bayesian

Explaining and implementing Windowed Non-Linear Reparamaterization (WNR) for Bayesian inference.
Jul 21, 2023
Madhav Kanda

Conformal Prediction

Conformal Prediction
ML

Explaining Conformal Prediction
Jan 15, 2023
Madhav Kanda

Laplace Approximation

Laplace Approximation
ML

Implementing Laplace Approximation in JAX
Aug 12, 2022
Madhav Kanda
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