Posts by Tag

Convex   Deep Generative Models   GAN   Generalization Bound   Latent Variable Models   Lipschitz   Mutual Information   PAC-Bayes   Paper Review   Reading Notes   Topic Review   Trick   Variational Inference

Convex

• July 21, 2020: On the Softmax Function

Deep Generative Models

• June 28, 2020: Density Ratio Trick

• June 25, 2020: Variational AutoEncoder

• June 16, 2020: InfoGAN

GAN

• June 16, 2020: InfoGAN

Generalization Bound

• July 1, 2020: A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Latent Variable Models

• July 2, 2020: Gradient Estimator of Discrete Random Variables

• June 25, 2020: Variational AutoEncoder

Lipschitz

• July 21, 2020: On the Softmax Function

Mutual Information

• June 16, 2020: InfoGAN

PAC-Bayes

• July 1, 2020: A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Paper Review

• July 1, 2020: A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

• June 16, 2020: InfoGAN

Reading Notes

• September 4, 2021: Noise Contrastive Estimation

• February 10, 2021: Score Matching and Denoising Auto-Encoder

Topic Review

• July 2, 2020: Gradient Estimator of Discrete Random Variables

• June 25, 2020: Variational AutoEncoder

Trick

• July 21, 2020: On the Softmax Function

• June 28, 2020: Density Ratio Trick

Variational Inference

• June 25, 2020: Variational AutoEncoder