Papers
Nyström Approximation for Large-Scale Determinantal Processes
Raja Hafiz Affandi, Alex Kulesza, Emily Fox et al.
ODE parameter inference using adaptive gradient matching with Gaussian processes
Frank Dondelinger, Dirk Husmeier, Simon Rogers et al.
On the Asymptotic Optimality of Maximum Margin Bayesian Networks
Sebastian Tschiatschek, Franz Pernkopf
Permutation estimation and minimax rates of identifiability
Olivier Collier, Arnak Dalalyan
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Random Projections for Support Vector Machines
Saurabh Paul, Christos Boutsidis, Malik Magdon-Ismail et al.
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian et al.
Scoring anomalies: a M-estimation formulation
Stéphan Clémençon, Jérémie Jakubowicz
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series
Zhaoran Wang, Fang Han, Han Liu
Statistical Tests for Contagion in Observational Social Network Studies
Greg Ver Steeg, Aram Galstyan
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, Padhraic Smyth
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Nevena Lazic, Christopher Bishop, John Winn
Structure Learning of Mixed Graphical Models
Jason Lee, Trevor Hastie
Supervised Sequential Classification Under Budget Constraints
Kirill Trapeznikov, Venkatesh Saligrama
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions
Heng Luo, Pierre Luc Carrier, Aaron Courville et al.
Thompson Sampling in Switching Environments with Bayesian Online Change Detection
Joseph Mellor, Jonathan Shapiro
Ultrahigh Dimensional Feature Screening via RKHS Embeddings
Krishnakumar Balasubramanian, Bharath Sriperumbudur, Guy Lebanon
Uncover Topic-Sensitive Information Diffusion Networks
Nan Du, Le Song, Hyenkyun Woo et al.
Unsupervised Link Selection in Networks
Quanquan Gu, Charu Aggarwal, Jiawei Han
Why Steiner-tree type algorithms work for community detection
Mung Chiang, Henry Lam, Zhenming Liu et al.
A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka, Morten Mrup
A Composite Likelihood View for Multi-Label Classification
Yi Zhang, Jeff Schneider
Active Learning from Multiple Knowledge Sources
Yan Yan, Romer Rosales, Glenn Fung et al.
Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze et al.