Papers
14,212 papers found
Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee et al.
Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani et al.
Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth, Shakir Mohamed
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki et al.
Multi-Prediction Deep Boltzmann Machines
Ian Goodfellow, Mehdi Mirza, Aaron Courville et al.
Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow, John Winn
Demixing odors - fast inference in olfaction
Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget et al.
Restricting exchangeable nonparametric distributions
Sinead A Williamson, Steve N MacEachern, Eric P Xing
Eluder Dimension and the Sample Complexity of Optimistic Exploration
Daniel Russo, Benjamin Van Roy
Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar S Karnin, Tomer Koren et al.
Learning Feature Selection Dependencies in Multi-task Learning
Daniel Hernández-Lobato, José Miguel Hernández-Lobato
Dimension-Free Exponentiated Gradient
Francesco Orabona
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
James L Sharpnack, Akshay Krishnamurthy, Aarti Singh
Exact and Stable Recovery of Pairwise Interaction Tensors
Shouyuan Chen, Michael R Lyu, Irwin King et al.
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez et al.
From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile et al.
Bayesian optimization explains human active search
Ali Borji, Laurent Itti
Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen, Benjamin Van Roy
Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama, Karsten Borgwardt
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel, Ryan P. Adams
First-order Decomposition Trees
Nima Taghipour, Jesse Davis, Hendrik Blockeel
Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Exact Post Model Selection Inference for Marginal Screening
Jason Lee, Jonathan E Taylor
Exponential Concentration of a Density Functional Estimator
Shashank Singh, Barnabas Poczos
LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S Tzeng et al.