Approximate Inference Methods

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse

We will also discuss the appendix.

February 12th 2020. [appendix]

Inference Suboptimality in Variational Autoencoders
January 29th 2020. [arXiv]

Compound Probabilistic Context-Free Grammars for Grammar Induction
November 13th 2019.

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
October 30th 2019.

Discrete Flows: Invertible Generative Models of Discrete Data

You may want to check a related paper: Discrete Flows and Lossless Compression

October 16th 2019. [related]

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

You may want to check a related paper: Implicit Deep Latent Variable Models for Text Generation

October 3th 2019. [related]

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
June 20th 2019.

Cooperative Learning of Disjoint Syntax and Semantics
June 13th 2019.

Proximal Policy Optimization Algorithms
June 6th 2019.

Block Neural Autoregressive Flow
May 9th 2019.

Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling
May 2nd 2019.

Augment and Reduce: Stochastic Inference for Large Categorical Distributions
April 11th 2019.

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
April 4th 2019.

Latent Normalizing Flows for Discrete Sequences
March 28th 2019.

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
March 21st 2019.

Variational Measure Preserving Flows
March 14th 2019.

Neural Autoregressive Flows
February 14th 2019.

Neural Ordinary Differential Equations
February 1st 2019.