1.1k citations · 5.5k across the 100 of their papers we have counts for
12 papers · 1 filter
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi, Mohammad Taha Bahadori, Le Song +2
Deep learning methods exhibit promising performance for predictive modeling in healthcare, but two important challenges remain: -Data insufficiency:Often in healthcare predictive m…
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
Neural networks are a powerful class of functions that can be trained with simple gradient descent to achieve state-of-the-art performance on a variety of applications. Despite the…
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits
Shuang Li, Yao Xie, Le Song
We present a novel distribution-free approach, the data-driven threshold machine (DTM), for a fundamental problem at the core of many learning tasks: choose a threshold for a given…
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar +3
Online knowledge repositories typically rely on their users or dedicated editors to evaluate the reliability of their content. These evaluations can be viewed as noisy measurements…
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
Hanjun Dai, Yichen Wang, Rakshit Trivedi +1
Recommender systems often use latent features to explain the behaviors of users and capture the properties of items. As users interact with different items over time, user and item…
Fast and Simple Optimization for Poisson Likelihood Models
Niao He, Zaid Harchaoui, Yichen Wang +1
Poisson likelihood models have been prevalently used in imaging, social networks, and time series analysis. We propose fast, simple, theoretically-grounded, and versatile, optimiza…