Papers
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan et al.
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Qingming Tang, Siqi Sun, Jinbo Xu
Correlation Clustering in Data Streams
KookJin Ahn, Graham Cormode, Sudipto Guha et al.
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
Yves-Laurent Kom Samo, Stephen Roberts
Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David Hogg, Dun Wang et al.
A Fast Variational Approach for Learning Markov Random Field Language Models
Yacine Jernite, Alexander Rush, David Sontag
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Jason Pacheco, Erik Sudderth
Online Time Series Prediction with Missing Data
Oren Anava, Elad Hazan, Assaf Zeevi
How Hard is Inference for Structured Prediction?
Amir Globerson, Tim Roughgarden, David Sontag et al.
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky et al.
Binary Embedding: Fundamental Limits and Fast Algorithm
Xinyang Yi, Constantine Caramanis, Eric Price
An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes, Philip Torr
Subsampling Methods for Persistent Homology
Frederic Chazal, Brittany Fasy, Fabrizio Lecci et al.
Cheap Bandits
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko et al.
Bimodal Modelling of Source Code and Natural Language
Miltos Allamanis, Daniel Tarlow, Andrew Gordon et al.
Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud, Ryan Adams
Distributional Rank Aggregation, and an Axiomatic Analysis
Adarsh Prasad, Harsh Pareek, Pradeep Ravikumar
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe et al.
Phrase-based Image Captioning
Remi Lebret, Pedro Pinheiro, Ronan Collobert
Context-based Unsupervised Data Fusion for Decision Making
Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela Schaar
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho et al.
Learning to Search Better than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal et al.
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros et al.
A Hybrid Approach for Probabilistic Inference using Random Projections
Michael Zhu, Stefano Ermon
A Multitask Point Process Predictive Model
Wenzhao Lian, Ricardo Henao, Vinayak Rao et al.