CSE 259 (Fall 2014)
AI Lunch Seminar

Mondays 12-1, Building EBU3, Room 4140

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 Balsubramani
Vicente Malave
Classifier ensembles for confidence-rated prediction
Measuring 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 Beijbom
Suqi Liu
Cost-effective sampling for pairs of annotators
Statistical 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) Large-scale click modeling for sponsored search