Papers
Annular Augmentation Sampling
Francois Fagan, Jalaj Bhandari, John Cunningham
Consistent and Efficient Nonparametric Different-Feature Selection
Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa et al.
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
Andrew Stevens, Yunchen Pu, Yannan Sun et al.
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Andrew An Bian, Baharan Mirzasoleiman, Joachim Buhmann et al.
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
Lijie Chen, Jian Li, Mingda Qiao
On the Learnability of Fully-Connected Neural Networks
Yuchen Zhang, Jason Lee, Martin Wainwright et al.
Sparse Accelerated Exponential Weights
Pierre Gaillard, Olivier Wintenberger
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park, Anastasios Kyrillidis, Constantine Carmanis et al.
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett, Volkan Cevher
ASAGA: Asynchronous Parallel SAGA
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao, Vincent Tan, Huan Xu
Clustering from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael Cho et al.
Large-Scale Data-Dependent Kernel Approximation
Catalin Ionescu, Alin Popa, Cristian Sminchisescu
Conditions beyond treewidth for tightness of higher-order LP relaxations
Mark Rowland, Aldo Pacchiano, Adrian Weller
Minimax Gaussian Classification & Clustering
Tianyang Li, Xinyang Yi, Constantine Carmanis et al.
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis et al.
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space
Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung
Attentive Path Combination for Knowledge Graph Completion
Xiaotian Jiang, Quan Wang, Baoyuan Qi et al.
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese
Yuanzhi Ke, Masafumi Hagiwara
On the Flatness of Loss Surface for Two-layered ReLU Networks
Jiezhang Cao, Qingyao Wu, Yuguang Yan et al.
Nested LSTMs
Joel Ruben Antony Moniz, David Krueger
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms
Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli et al.
Learning RBM with a DC programming Approach
Vidyadhar Upadhya, P. S. Sastry