Papers
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran, Trung Pham, Gustavo Carneiro et al.
A New Theory for Matrix Completion
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien
Kernel functions based on triplet comparisons
Matthäus Kleindessner, Ulrike von Luxburg
Minimax Estimation of Bandable Precision Matrices
Addison Hu, Sahand Negahban
Fisher GAN
Youssef Mroueh, Tom Sercu
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu, Eric Chi, Kenneth Lange
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
High-Order Attention Models for Visual Question Answering
Idan Schwartz, Alexander Schwing, Tamir Hazan
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh S Merel, Scott E Reed et al.
Non-parametric Structured Output Networks
Andreas Lehrmann, Leonid Sigal
Query Complexity of Clustering with Side Information
Arya Mazumdar, Barna Saha
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long, ZHANGJIE CAO, Jianmin Wang et al.
Model-Powered Conditional Independence Test
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam et al.
Scalable Levy Process Priors for Spectral Kernel Learning
Phillip A Jang, Andrew Loeb, Matthew Davidow et al.
Adaptive Bayesian Sampling with Monte Carlo EM
Anirban Roychowdhury, Srinivasan Parthasarathy
Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck, Jialin Mao, Kyunghyun Cho et al.
Accelerated consensus via Min-Sum Splitting
Patrick Rebeschini, Sekhar C Tatikonda
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou, Richard Zemel, Raquel Urtasun
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni, Vineet Goyal
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
Nanyang Ye, Zhanxing Zhu, Rafal Mantiuk
On clustering network-valued data
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin
Inverse Filtering for Hidden Markov Models
Robert Mattila, Cristian Rojas, Vikram Krishnamurthy et al.
Learning to Inpaint for Image Compression
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
Learning A Structured Optimal Bipartite Graph for Co-Clustering
Feiping Nie, Xiaoqian Wang, Cheng Deng et al.