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Charles Elkan

UC San Diego

SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Achieving Fluency and Coherency in Task-oriented Dialog

Apr 11, 2018
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

* Workshop on Conversational AI, NIPS 2017, Long Beach, CA, USA 

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End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient

Dec 07, 2017
Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan

* Workshop on Conversational AI, NIPS 2017, Long Beach, CA, USA 

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Predicting Surgery Duration with Neural Heteroscedastic Regression

Jul 13, 2017
Nathan Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton


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Visualizing the Consequences of Evidence in Bayesian Networks

Jul 04, 2017
Clifford Champion, Charles Elkan

* 9 pages, 11 figures 

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Learning to Diagnose with LSTM Recurrent Neural Networks

Mar 21, 2017
Zachary C. Lipton, David C. Kale, Charles Elkan, Randall Wetzel


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A Critical Review of Recurrent Neural Networks for Sequence Learning

Oct 17, 2015
Zachary C. Lipton, John Berkowitz, Charles Elkan


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Efficient Elastic Net Regularization for Sparse Linear Models

Jul 02, 2015
Zachary C. Lipton, Charles Elkan


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Differential Privacy and Machine Learning: a Survey and Review

Dec 24, 2014
Zhanglong Ji, Zachary C. Lipton, Charles Elkan


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Thresholding Classifiers to Maximize F1 Score

May 14, 2014
Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy


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Predicting accurate probabilities with a ranking loss

Jun 18, 2012
Aditya Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado

* ICML2012 

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Dyadic Prediction Using a Latent Feature Log-Linear Model

Jun 10, 2010
Aditya Krishna Menon, Charles Elkan


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