- Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen (2020): Evaluating Explanations: How much do explanations from the teacher aid students? in preparation.
- William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2015): A Soft Version of Predicate Invention Based on Structured Sparsity in IJCAI-2015.
- William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom Mitchell, and William W. Cohen (2015): Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic in Machine Learning, 2015.
- William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in CIKM-2013
**(Honorable Mention for Best Paper at CIKM-2013)**. - William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013): Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic in arxiv 1305.2254.
- William Yang Wang, Kathryn Mazaitis, William W. Cohen (2013):
*Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic*in ICML 2103 Workshop on Inferning. - William W. Cohen, Russell Greiner, and Dale Schuurmans (1994):
*Probabilistic hill-climbing*in*Computational learning theory and natural learning systems (Volume II), MIT Press.*. - William W. Cohen (1994):
*Incremental abductive EBL*in Machine Learning 15(1): 5-24 (1994). - William W. Cohen (1994): Grammatically biased learning: learning logic programs using an explicit antecedent description language in Artif. Intell. 68(2): 303-366 (1994).
- William W. Cohen (1992):
*Using distribution-free learning theory to analyze solution path caching mechanisms*in Computational Intelligence 8: 336-375 (1992). - William W. Cohen (1992):
*Desiderata for generalization-to-n algorithms*in AII 1992: 140-150. - William W. Cohen (1992): Compiling prior knowledge into an explicit bias in
*ICML 1992: 102-110*. - William W. Cohen (1992):
*Abductive explanation based learning: A solution to the multiple inconsistent explanation problem*in Machine Learning 8: 167-219 (1992). - William W. Cohen (1993):
*A Review of `Creating a Memory of Causal Relationships' by Michael Pazzani*in*Machine Learning (1993)*. - William W. Cohen (1991): The generality of overgenerality in ICML 1991: 490-494.
- William W. Cohen (1990):
*Learning from textbook knowledge: A case study*in AAAI 1990: 743-748. - William W. Cohen (1990): Learning approximate control rules of high utility in ICML 1990: 268-276.
- William W. Cohen (1990): An analysis of representation shift in concept learning in ICML 1990: 104-112.
- William W. Cohen (1990):
*Learning from Examples and an "Abductive Theory"*in*Proc. of the 1990 AAAI Spring Symposium on Abduction*. - William W. Cohen (1988):
*Generalizing number and learning from multiple examples in explanation-based learning*in ICML 1988: 256-269. - William W. Cohen, Jack Mostow & Alex Borgida (1988):
*Generalizing number in explanation-based learning*in*Proc. of the 1988 AAAI Spring Symposium on Explanation-Based Learning*.

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