Essentially, he asked if the above poster had read Elements of Statistical Learning, Murphy's ML textbook, Bishop's PRML, Reinforcement Learning: An Introductio

Essentially, he asked if the above poster had read Elements of Statistical Learning, Murphy's ML textbook, Bishop's PRML, Reinforcement Learning: An Introduction, and Ian Goodfellow's Deep Learning textbook. I simply clarified that the question was about computational learning theory, a subfield largely started by Leslie Valiant in the form of PAC (Probably Approximately Correct) learning. The difference in emphasis between the machine learning conferences I mentioned helps point out how practical machine learning (like ICML, matching PRML/ML/ESL) and feature extraction/representation learning (like ICLR, perhaps matching portions of both ICML and ICLR), while important, are not what the previous poster was asking about.