Papers
Teacher Improves Learning by Selecting a Training Subset
Yuzhe Ma, Robert Nowak, Philippe Rigollet et al.
Tensor Regression Meets Gaussian Processes
Rose Yu, Guangyu Li, Yan Liu
The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Sisson
The emergence of spectral universality in deep networks
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
The Geometry of Random Features
Krzysztof Choromanski, Mark Rowland, Tamas Sarlos et al.
The Power Mean Laplacian for Multilayer Graph Clustering
Pedro Mercado, Antoine Gautier, Francesco Tudisco et al.
Topic Compositional Neural Language Model
Wenlin Wang, Zhe Gan, Wenqi Wang et al.
Towards Memory-Friendly Deterministic Incremental Gradient Method
Jiahao Xie, Hui Qian, Zebang Shen et al.
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation
Mohammadreza Soltani, Chinmay Hegde
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Robert Gower, Nicolas Le Roux, Francis Bach
Transfer Learning on fMRI Datasets
Hejia Zhang, Po-Hsuan Chen, Peter Ramadge
Tree-based Bayesian Mixture Model for Competing Risks
Alexis Bellot, Mihaela Schaar
Turing: A Language for Flexible Probabilistic Inference
Hong Ge, Kai Xu, Zoubin Ghahramani
VAE with a VampPrior
Jakub Tomczak, Max Welling
Variational Inference based on Robust Divergences
Futoshi Futami, Issei Sato, Masashi Sugiyama
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga, Chris Wiggins
Variational Rejection Sampling
Aditya Grover, Ramki Gummadi, Miguel Lazaro-Gredilla et al.
Variational Sequential Monte Carlo
Christian Naesseth, Scott Linderman, Rajesh Ranganath et al.
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor et al.
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
Sijia Liu, Jie Chen, Pin-Yu Chen et al.
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications
Aniruddha Bhargava, Ravi Ganti, Rob Nowak
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario Figueiredo, Tom Goldstein
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Beilun Wang, Ji Gao, Yanjun Qi