Tightening LP Relaxations for MAP using Message Passing David Sontag CSAIL, MIT Cambridge, MA

Source URL: uai2008.cs.helsinki.fi

More data means less inference: A pseudo-max approach to structured learning David Sontag Microsoft Research

Source URL: cs.nyu.edu

On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing Alexander M. Rush David Sontag Michael Collins

Source URL: cs.nyu.edu

Character-Aware Neural Language Models Yacine Jernite∗ Yoon Kim† David Sontag∗

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Applied mathematics
• Computational neuroscience
• Machine learning
• Computational linguistics
• Recurrent neural network
• Long short-term memory
• Word embedding
• Speech recognition
• Language model
• Convolutional neural network

Complexity of Inference in Latent Dirichlet Allocation David Sontag New York University∗ Daniel M. Roy

Source URL: cs.nyu.edu

Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests Yacine Jernite, Yoni Halpern, David Sontag Courant Institute of Mathematical Sciences New York University

Source URL: cs.nyu.edu

Supplementary material for “More data means less inference: A pseudo-max approach to structured learning” David Sontag Microsoft Research

Source URL: cs.nyu.edu

Approximate Inference in Graphical Models using LP Relaxations by David Alexander Sontag Submitted to the Department of Electrical Engineering and Computer Science

Source URL: cs.nyu.edu

A Fast Variational Approach for Learning Markov Random Field Language Models Yacine Jernite, Alexander Rush and David Sontag Let’s talk about language

Source URL: cs.nyu.edu

Using Anchors to Estimate Clinical State without Labeled Data Yoni Halpern1 , Youngduck Choi1 , Steven Horng MD MMSc2 , David Sontag PhD1 1 New York University, New York, NY 2 Beth Israel Deaconess Medical Center, Boston

Source URL: cs.nyu.edu