4 citations · 12 across the 9 of their papers we have counts for
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cs.LG2026
Information Lattice Learning as Probabilistic Graphical Model Structure Learning
Haizi Yu, Lav R. Varshney
Information lattice learning (ILL) learns interpretable rules of a signal by alternately projecting the signal onto a partition lattice that encodes a hierarchy of abstractions and…
cs.LG2018★ 4 cited
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering
Haizi Yu, Igor Mineyev, Lav R. Varshney
Abstraction plays a key role in concept learning and knowledge discovery; this paper is concerned with computational abstraction. In particular, we study the nature of abstraction…
cs.LG2017★ 4 cited
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Abstraction and realization are bilateral processes that are key in deriving intelligence and creativity. In many domains, the two processes are approached through rules: high-leve…