24 citations · 144 across the 74 of their papers we have counts for
4 papers · 1 filter
Certifying Fairness of Probabilistic Circuits
Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi
With the increased use of machine learning systems for decision making, questions about the fairness properties of such systems start to take center stage. Most existing work on al…
Sparse Probabilistic Circuits via Pruning and Growing
Meihua Dang, Anji Liu, Guy Van den Broeck
Probabilistic circuits (PCs) are a tractable representation of probability distributions allowing for exact and efficient computation of likelihoods and marginals. There has been s…
On the Paradox of Learning to Reason from Data
Honghua Zhang, Liunian Harold Li, Tao Meng +2
Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to solve logical reasoning problems presented in natural language? We attempt to an…
Neuro-Symbolic Entropy Regularization
Kareem Ahmed, Eric Wang, Kai-Wei Chang +1
In structured prediction, the goal is to jointly predict many output variables that together encode a structured object -- a path in a graph, an entity-relation triple, or an order…