NeurIPS 2014
411 papers
Cone-Constrained Principal Component Analysis
Yash Deshpande, Andrea Montanari, Emile Richard
Distributed Estimation, Information Loss and Exponential Families
Qiang Liu, Alex Ihler
Gaussian Process Volatility Model
Yue Wu, José Miguel Hernández-Lobato, Zoubin Ghahramani
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
Mingyuan Zhou
Clustered factor analysis of multineuronal spike data
Lars Buesing, Timothy A Machado, John P. Cunningham, Liam Paninski
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli
Biclustering Using Message Passing
Luke O'Connor, Soheil Feizi
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Cristina Savin, Sophie Deneve
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Active Regression by Stratification
Sivan Sabato, Rémi Munos
From Stochastic Mixability to Fast Rates
Nishant A Mehta, Robert C. Williamson