Papers
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He, Yan Wang, John Hopcroft
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali, Qiyang Han, Ioana Dumitriu et al.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li, Kaiming He et al.
Examples are not enough, learn to criticize! Criticism for Interpretability
Been Kim, Rajiv Khanna, Oluwasanmi O Koyejo
Sub-sampled Newton Methods with Non-uniform Sampling
Peng Xu, Jiyan Yang, Fred Roosta et al.
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar, arthur szlam, Rob Fergus
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
Ruitong Huang, Tor Lattimore, András György et al.
Local Similarity-Aware Deep Feature Embedding
Chen Huang, Chen Change Loy, Xiaoou Tang
GAP Safe Screening Rules for Sparse-Group Lasso
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.
Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky, Kwabena A. Boahen
Convex Two-Layer Modeling with Latent Structure
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu et al.
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
Yichen Wang, Nan Du, Rakshit Trivedi et al.
Orthogonal Random Features
Felix Xinnan X Yu, Ananda Theertha Suresh, Krzysztof M Choromanski et al.
The Multiple Quantile Graphical Model
Alnur Ali, J. Zico Kolter, Ryan J Tibshirani
Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.
Supervised Learning with Tensor Networks
Edwin Stoudenmire, David J Schwab
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber et al.
Learning values across many orders of magnitude
Hado P van Hasselt, Arthur Guez, Arthur Guez et al.
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée, Claire Vernade, Olivier Cappe
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
Zhen Xu, Wen Dong, Sargur N Srihari
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
Coupled Generative Adversarial Networks
Ming-Yu Liu, Oncel Tuzel
A Simple Practical Accelerated Method for Finite Sums
Aaron Defazio
Search Improves Label for Active Learning
Alina Beygelzimer, Daniel J. Hsu, John Langford et al.
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Lalit Jain, Kevin G. Jamieson, Rob Nowak