Papers
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
Inbal Horev, Florian Yger, Masashi Sugiyama
Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A Goetz, E. J. Chichilnisky
Local Causal Discovery of Direct Causes and Effects
Tian Gao, Qiang Ji
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
Gunwoong Park, Garvesh Raskutti
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada et al.
Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck et al.
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H Morgenstern, Tim Roughgarden
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao, Junhua Mao, Jie Zhou et al.
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer, Stefan Kiebel
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alex Ihler
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre et al.
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin
Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Xinnan X Yu, Sanjiv Kumar
Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka, Yuichi Yoshida
Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li, Zhouchen Lin
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L Bartlett
Preconditioned Spectral Descent for Deep Learning
David E Carlson, Edo Collins, Ya-Ping Hsieh et al.
Discrete Rényi Classifiers
Meisam Razaviyayn, Farzan Farnia, David Tse
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Gaussian Process Random Fields
David Moore, Stuart Russell
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Nikhil Rao, Hsiang-Fu Yu, Pradeep K Ravikumar et al.
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov et al.
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
Ahmed Alaoui, Michael W. Mahoney