Papers
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
Juho Lee, Lancelot F James, Seungjin Choi
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
Shashank Singh, Barnabas Poczos
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Lalit Jain, Kevin G. Jamieson, Rob Nowak
Flexible Models for Microclustering with Application to Entity Resolution
Brenda Betancourt, Giacomo Zanella, Jeffrey W Miller et al.
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
Ruitong Huang, Tor Lattimore, András György et al.
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li, Soeren Pirk, Hao Su et al.
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John Hershey et al.
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing
Farshad Lahouti, Babak Hassibi
GAP Safe Screening Rules for Sparse-Group Lasso
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B Oliva et al.
Gaussian Processes for Survival Analysis
Tamara Fernandez, Nicolas Rivera, Yee Whye Teh
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Timothy Rubin, Oluwasanmi O Koyejo, Michael N. Jones et al.
General Tensor Spectral Co-clustering for Higher-Order Data
Tao Wu, Austin R Benson, David F Gleich
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy, Thomas Brox
Generating Long-term Trajectories Using Deep Hierarchical Networks
Stephan Zheng, Yisong Yue, Jennifer Hobbs
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
Xinghua Lou, Ken Kansky, Wolfgang Lehrach et al.
Geometric Dirichlet Means Algorithm for topic inference
Mikhail Yurochkin, Xuanlong Nguyen
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
Ji Xu, Daniel J. Hsu, Arian Maleki
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
Antoine Gautier, Quynh N Nguyen, Matthias Hein
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nati Srebro
Graph Clustering: Block-models and model free results
Yali Wan, Marina Meila