DGMs for NLP. A roadmap.
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Updated
Dec 12, 2022
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)
Julia code for running the numerical experiment in Subsection 4.6.2 of Brian Irwin's PhD thesis.
Reference circuits, decoders, resource formulas, and exact-logical validation for global-frame, direct-phase, and checkpointed quantum backpropagation with the Hopf ansatz.
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