Papers
Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani et al.
Collaborative Ranking With 17 Parameters
Maksims Volkovs, Richard S. Zemel
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization
Konstantinos Tsianos, Sean Lawlor, Michael G. Rabbat
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, Martin J. Wainwright, John C. Duchi
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck, Alexandre Pouget, Katherine A. Heller
Compressive Sensing MRI with Wavelet Tree Sparsity
Chen Chen, Junzhou Huang
Context-Sensitive Decision Forests for Object Detection
Peter Kontschieder, Samuel R. Bulò, Antonio Criminisi et al.
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey et al.
Controlled Recognition Bounds for Visual Learning and Exploration
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
Convergence and Energy Landscape for Cheeger Cut Clustering
Xavier Bresson, Thomas Laurent, David Uminsky et al.
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
Ofer Meshi, Amir Globerson, Tommi S. Jaakkola
Convex Multi-view Subspace Learning
Martha White, Xinhua Zhang, Dale Schuurmans et al.
Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher, Brody Huval, Bharath Bath et al.
Co-Regularized Hashing for Multimodal Data
Yi Zhen, Dit-Yan Yeung
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
Dongho Kim, Kee-eung Kim, Pascal Poupart
Coupling Nonparametric Mixtures via Latent Dirichlet Processes
Dahua Lin, John W. Fisher
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem
Henrik Ohlsson, Allen Yang, Roy Dong et al.
Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Shenghuo Zhu, Kai Yu et al.
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella et al.
Deep Representations and Codes for Image Auto-Annotation
Ryan Kiros, Csaba Szepesvári
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro D. Lena, Ken Nagata, Pierre F. Baldi
Delay Compensation with Dynamical Synapses
Chi Fung, K. Wong, Si Wu
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki et al.