10708 Probabilistic Graphical Models

List of 2014 Course Projects

Project presentations will be held on Wednesday, May 7th in GHC 4307.

Presentation Time	Project Title	Team Members
10:00 AM	Hidden Markov Models Applied to Energy Disaggregation	Kirstin Early, Jingkun Gao, Carl Malings
10:15 AM	Incorporating Semantic Knowledge into Topic Models	Jiwei Li
10:30 AM	Hidden State Conditional Random Fields with Confidence Propagation	Ruikun Luo, Meng Song, Zhiding Yu
10:45 AM	Influence in Social Networks	Haoyu Wang, Yipei Wang, Hao Zhang
11:00 AM	Combining Content and Links for Exploring Topic-Oriented Influence in Social Networks	Ran Chen, Yulong Pei, Yuan Xie
11:15 AM	Sparse Time-Varying Conditional Gaussian Graphical Models with Neighborhood Selection	Calvin McCarter, Seungwhan Moon, Veeru Sadhanala
SHORT BREAK
11:45 AM	Large-Scale ADMM for Group Lasso with Petuum	Siheng Chen, Qin Gao, Jingwei Shen
12:00 PM	Scalable Fastfood Neural Networks	Karanhaar Singh, Felix Juefei-Xu
12:15 PM	Domain Adaptation in Recurrent Neural Network Language Models	Pradeep Dasigi, Rahul Goutam, Yu-Hsin Kuo
12:30 PM	Improving Word Vector Representations Using Prior Semantic Beliefs	Jesse Dodge, Manaal Faruqui, Sujay Kumar Jauhar
12:45 PM	Unsupervised Multilingual Event Schema Induction	Zhengzhong Liu, Rohan Ramanath, Swabha Swayamdipta
1:00 PM	Where you go, What you say, How you say - Are they related?	Rajarshi Das, Lavanya Viswanathan, Alok Kothari
1:15 PM	Data-Driven Modelling of Sentence Processing from Magnetoencephalography (MEG) Data	Jessica Chemali, Nicole Rafidi, Dan Schwarz
LONG BREAK
3:00 PM	Large-Scale MCMC for Distributions with Restricted Domains	Alnur Ali, Dallas Card, Calvin Murdock
3:15 PM	Inferring Networks and Estimating Influence in Social Media	Dishan Gupta, Daniel Ribeiro Silva, Li Zhou
3:30 PM	Graphical Models of Subject Matter Familiarity for a Benevolent Tutor System	Alex Loewi, Zhe Zhang
3:45 PM	On Cascade Prediction in Diffusion Networks using Probabilistic Graphical Models	Abhishek Chugh, Nijith Jacob
4:00 PM	Weather Forecasting using Probabilistic Graphical Models	Felipe Hernández, Amos Ng
4:15 PM	Low-Rank Density Estimation	Junier Oliva
SHORT BREAK
4:45 PM	Sponsors Link Ranking Based on Mining Brand Images	Xiang Li, Shanghang Zhang
5:00 PM	Large Scale Structure Learning of Conditional Gaussian Graphical Models	Soumya Batra, Carlos Ramirez, Manzil Zaheer
5:15 PM	Incorporating External Knowledge for Short Text Topic Modeling	Pengtao Xie, Diyi Yang, Zichao Yang
5:30 PM	Nonparametric Discriminative Overcomplete Dictionary Learning	Thi Hoang Ngan Le, Khoa Luu
5:45 PM	A Topic Model of Genetic Mutations in Cancer	Zhiguang Huo
6:00 PM	Learning a Hidden Markov Model for Universal Classification of Electrical Devices	Luis Tandalla