Sontag, David A.

17 publications

AAAI 2022 Clustering Interval-Censored Time-Series for Disease Phenotyping Irene Y. Chen, Rahul G. Krishnan, David A. Sontag
AAAI 2022 Teaching Humans When to Defer to a Classifier via Exemplars Hussein Mozannar, Arvind Satyanarayan, David A. Sontag
AAAI 2021 Deep Contextual Clinical Prediction with Reverse Distillation Rohan S. Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David A. Sontag
UAI 2018 Max-Margin Learning with the Bayes Factor Rahul G. Krishnan, Arjun Khandelwal, Rajesh Ranganath, David A. Sontag
AISTATS 2018 Optimality of Approximate Inference Algorithms on Stable Instances Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan
AAAI 2017 Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan, Uri Shalit, David A. Sontag
AAAI 2016 Character-Aware Neural Language Models Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush
AISTATS 2016 Tightness of LP Relaxations for Almost Balanced Models Adrian Weller, Mark Rowland, David A. Sontag
ECCV 2014 Instance Segmentation of Indoor Scenes Using a Coverage Loss Nathan Silberman, David A. Sontag, Rob Fergus
UAI 2014 Lifted Tree-Reweighted Variational Inference Hung Hai Bui, Tuyen N. Huynh, David A. Sontag
UAI 2014 Understanding the Bethe Approximation: When and How Can It Go Wrong? Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag
UAI 2013 SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure Eliot Brenner, David A. Sontag
UAI 2013 Unsupervised Learning of Noisy-or Bayesian Networks Yonatan Halpern, David A. Sontag
UAI 2012 Efficiently Searching for Frustrated Cycles in MAP Inference David A. Sontag, Do Kook Choe, Yitao Li
ICML 2010 Learning Efficiently with Approximate Inference via Dual Losses Ofer Meshi, David A. Sontag, Tommi S. Jaakkola, Amir Globerson
UAI 2008 Tightening LP Relaxations for MAP Using Message Passing David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss
IJCAI 2005 BLOG: Probabilistic Models with Unknown Objects Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov