DGMs for NLP. A roadmap.

Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.

SCOBO: Sparsity-aware Comparison Oracle Based Optimization

[ICML 2021] "Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation" by Jiawei Zhang*, Linyi Li*, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li

On the Hardness of Probabilistic Neurosymbolic Learning (ICML2024)

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Julia code for running the numerical experiment in Subsection 4.6.2 of Brian Irwin's PhD thesis.

Numerical Toolbox