Papers
Wasserstein Training of Restricted Boltzmann Machines
Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
Understanding Probabilistic Sparse Gaussian Process Approximations
Matthias Bauer, Mark van der Wilk, Carl Edward Rasmussen
Latent Attention For If-Then Program Synthesis
Chang Liu, Xinyun Chen, Eui Chul Shin et al.
Bayesian latent structure discovery from multi-neuron recordings
Scott Linderman, Ryan P. Adams, Jonathan W Pillow
CRF-CNN: Modeling Structured Information in Human Pose Estimation
Xiao Chu, Wanli Ouyang, hongsheng Li et al.
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
Ransalu Senanayake, Lionel Ott, Simon O'Callaghan et al.
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
Chris Junchi Li, Zhaoran Wang, Han Liu
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Jinzhuo Wang, Wenmin Wang, xiongtao Chen et al.
Learning the Number of Neurons in Deep Networks
Jose M Alvarez, Mathieu Salzmann
The Multiscale Laplacian Graph Kernel
Risi Kondor, Horace Pan
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao, Pascal Poupart, Geoffrey J. Gordon
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe, Colin Sandon
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
Kevin Winner, Daniel R. Sheldon
Learning Sparse Gaussian Graphical Models with Overlapping Blocks
Mohammad Javad Hosseini, Su-In Lee
Ladder Variational Autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe et al.
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios, Iain Murray
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, ecprice et al.
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Timothy Rubin, Oluwasanmi O Koyejo, Michael N. Jones et al.
On the Recursive Teaching Dimension of VC Classes
Xi Chen, Xi Chen, Yu Cheng et al.
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, Sergey Levine et al.
Learning Influence Functions from Incomplete Observations
Xinran He, Ke Xu, David Kempe et al.
An ensemble diversity approach to supervised binary hashing
Miguel A. Carreira-Perpinan, Ramin Raziperchikolaei
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
Dogyoon Song, Christina E. Lee, Yihua Li et al.
Flexible Models for Microclustering with Application to Entity Resolution
Brenda Betancourt, Giacomo Zanella, Jeffrey W Miller et al.