Papers
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
Jianzhu Ma, Jian Peng, Sheng Wang et al.
Fast Near-GRID Gaussian Process Regression
Yuancheng Luo, Ramani Duraiswami
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions
Heng Luo, Pierre Luc Carrier, Aaron Courville et al.
Learning Markov Networks With Arithmetic Circuits
Daniel Lowd, Amirmohammad Rooshenas
Dynamic Scaled Sampling for Deterministic Constraints
Lei Li, Bharath Ramsundar, Stuart Russell
Structure Learning of Mixed Graphical Models
Jason Lee, Trevor Hastie
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Nevena Lazic, Christopher Bishop, John Winn
Exact Learning of Bounded Tree-width Bayesian Networks
Janne Korhonen, Pekka Parviainen
Beyond Sentiment: The Manifold of Human Emotions
Seungyeon Kim, Fuxin Li, Guy Lebanon et al.
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions
Prabhanjan Kambadur, Aurelie Lozano
Active Learning for Interactive Visualization
Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
Joyce Ho, Yubin Park, Carlos Carvalho et al.
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian et al.
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes
Abner Guzman-Rivera, Pushmeet Kohli, Dhruv Batra
Clustered Support Vector Machines
Quanquan Gu, Jiawei Han
Unsupervised Link Selection in Networks
Quanquan Gu, Charu Aggarwal, Jiawei Han
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
Georg Goerg, Cosma Shalizi
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Learning to Top-K Search using Pairwise Comparisons
Brian Eriksson
Data-driven covariate selection for nonparametric estimation of causal effects
Doris Entner, Patrik Hoyer, Peter Spirtes
Dynamic Copula Networks for Modeling Real-valued Time Series
Elad Eban, Gideon Rothschild, Adi Mizrahi et al.
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, Padhraic Smyth
Uncover Topic-Sensitive Information Diffusion Networks
Nan Du, Le Song, Hyenkyun Woo et al.
ODE parameter inference using adaptive gradient matching with Gaussian processes
Frank Dondelinger, Dirk Husmeier, Simon Rogers et al.
Deep Gaussian Processes
Andreas Damianou, Neil D. Lawrence