papers
Publications (11)
cs.CL2018
Achieving Fluency and Coherency in Task-oriented Dialog
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
stat.ML2014
Thresholding Classifiers to Maximize F1 Score
Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
cs.LG2012
Predicting accurate probabilities with a ranking loss
Aditya Menon, Xiaoqian Jiang, Shankar Vembu +2
stat.ML2017
Predicting Surgery Duration with Neural Heteroscedastic Regression
Nathan Ng, Rodney A Gabriel, Julian McAuley +2
cs.AI2017
Visualizing the Consequences of Evidence in Bayesian Networks
Clifford Champion, Charles Elkan
cs.LG2015
Efficient Elastic Net Regularization for Sparse Linear Models
Zachary C. Lipton, Charles Elkan
cs.AI2017
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient
Li Zhou, Kevin Small, Oleg Rokhlenko +1
cs.LG2014
Differential Privacy and Machine Learning: a Survey and Review
Zhanglong Ji, Zachary C. Lipton, Charles Elkan
cs.LG2017
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, Charles Elkan +1
cs.LG2010
Dyadic Prediction Using a Latent Feature Log-Linear Model
Aditya Krishna Menon, Charles Elkan
cs.LG2015
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary C. Lipton, John Berkowitz, Charles Elkan