This quarter’s pizza is made possible from generous support from Yahoo!.Date Speaker(s) Title 10/6 David Lisuk (Palantir)Kat Ellis (MSR)Kritika Singh (Google)Panqu Wang (HP Labs)Sheeraz Ahmad (MSR)Sneha Yelimeli (BloomReach)Zachary Lipton (MSR) Summer internships round-up 10/13 Amin Mantrach (Yahoo! Labs) Item cold-start recommendations:learning local collective embeddings 10/20 Prof. Fei Sha (USC) Similarity component analysis:learning non-metric measures of similarity 10/27 Akshay BalsubramaniVicente Malave Classifier ensembles for confidence-rated predictionMeasuring similarity at scale 11/3 Prof. Julian McAuley (UCSD) Understanding opinions and preferences in product networks 11/10 Matt Elkherj (Palantir) Machine learning @ Palantir 11/17 Prof. Zhuowen Tu (UCSD) Deeply supervised nets 11/24 Oscar BeijbomSuqi Liu Cost-effective sampling for pairs of annotatorsStatistical parsing of WHOIS records 12/1 Prof. Roger Levy (UCSD) Compositionality in probabilistic semantics and pragmatics: Bayesian “and” and “or” 12/8 Hirakendu Das (Yahoo Labs)…

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