Efficient Marginalization of Discrete and Structured Latent Variables
via Sparsity

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity

3 July 2020

Gonçalo M. Correia

André F. T. Martins

Papers citing "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity"

8 / 8 papers shown

Title
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 40 24 0 04 Oct 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon C. Alippi CML AI4TS 35 18 0 26 May 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies Alon Berliner Guy Rotman Yossi Adi Roi Reichart Tamir Hazan BDL DRL 24 4 0 03 May 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 29 19 0 01 Dec 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Phil Chen Masha Itkina Ransalu Senanayake Mykel J. Kochenderfer 28 6 0 27 Oct 2021