Papers
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
Sahar Akram, Jonathan Z Simon, Shihab A Shamma et al.
Do Deep Nets Really Need to be Deep?
Jimmy Ba, Rich Caruana
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband, Benjamin Van Roy
Iterative Neural Autoregressive Distribution Estimator NADE-k
Tapani Raiko, Yao Li, Kyunghyun Cho et al.
Scale Adaptive Blind Deblurring
Haichao Zhang, Jianchao Yang
Subspace Embeddings for the Polynomial Kernel
Haim Avron, Huy Nguyen, David Woodruff
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""
Vincent Michalski, Roland Memisevic, Kishore Konda
Fast Training of Pose Detectors in the Fourier Domain
João F. Henriques, Pedro Martins, Rui F Caseiro et al.
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li et al.
Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie, Denis D. Maua, Cassio P de Campos et al.
Nonparametric Bayesian inference on multivariate exponential families
William R Vega-Brown, Marek Doniec, Nicholas G Roy
Ranking via Robust Binary Classification
Hyokun Yun, Parameswaran Raman, S. Vishwanathan
Fast and Robust Least Squares Estimation in Corrupted Linear Models
Brian McWilliams, Gabriel Krummenacher, Mario Lucic et al.
Global Belief Recursive Neural Networks
Romain Paulus, Richard Socher, Christopher D. Manning
Accelerated Mini-batch Randomized Block Coordinate Descent Method
Tuo Zhao, Mo Yu, Yiming Wang et al.
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting et al.
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang Oh, Onkar Dalal, Kshitij Khare et al.
Optimal rates for k-NN density and mode estimation
Sanjoy Dasgupta, Samory Kpotufe
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
Robert Lindsey, Mohammad Khajah, Michael Mozer
Robust Tensor Decomposition with Gross Corruption
Quanquan Gu, Huan Gui, Jiawei Han
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
Kenneth W Latimer, E. J. Chichilnisky, Fred Rieke et al.
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
Shenlong Wang, Alex Schwing, Raquel Urtasun
Deterministic Symmetric Positive Semidefinite Matrix Completion
William E Bishop, Byron M. Yu
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang, Charles Sutton